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\n  \n Amelio, A.\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Classification of the Scripts in Medieval Documents from Balkan Region by Run-Length Texture Analysis.\n \n \n \n \n\n\n \n Brodić, D.; Amelio, A.; and Milivojević, Z. N.\n\n\n \n\n\n\n In Arik, S.; Huang, T.; Lai, W. K.; and Liu, Q., editor(s), Neural Information Processing, volume 9489, pages 442–450. Springer International Publishing, Cham, 2015.\n \n\n\n\n
\n\n\n\n \n \n \"ClassificationPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@incollection{arik_classification_2015,\n\taddress = {Cham},\n\ttitle = {Classification of the {Scripts} in {Medieval} {Documents} from {Balkan} {Region} by {Run}-{Length} {Texture} {Analysis}},\n\tvolume = {9489},\n\tisbn = {978-3-319-26531-5 978-3-319-26532-2},\n\turl = {http://link.springer.com/10.1007/978-3-319-26532-2_48},\n\turldate = {2018-08-14},\n\tbooktitle = {Neural {Information} {Processing}},\n\tpublisher = {Springer International Publishing},\n\tauthor = {Brodić, Darko and Amelio, Alessia and Milivojević, Zoran N.},\n\teditor = {Arik, Sabri and Huang, Tingwen and Lai, Weng Kin and Liu, Qingshan},\n\tyear = {2015},\n\tdoi = {10.1007/978-3-319-26532-2_48},\n\tpages = {442--450},\n}\n\n
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\n  \n Anderson, C.\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n XQuery for humanists.\n \n \n \n\n\n \n Anderson, C. B; and Wicentowski, J. C.\n\n\n \n\n\n\n 2020.\n OCLC: 1179052067\n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@book{anderson_xquery_2020,\n\ttitle = {{XQuery} for humanists},\n\tisbn = {978-1-62349-829-0},\n\tabstract = {Why XQuery for humanists? -- Setting up your XQuery environment -- Reviewing XML and related standards -- Finding your way around with XPath -- XQuery basics -- Next steps with XQuery -- Advanced XQuery -- Thinking functionally -- Modifying your data with XQuery update -- Searching with XQuery full text -- Handling errors gracefully -- Using XQuery with other digital humanities tools -- Conclusion. ""XQuery for Humanists" provides an informed, opinionated overview and recommends the best implementations, libraries, and paradigms to empower those who need it most. Emphasizing practical applicability, the authors go beyond the XQuery language to include the basics of underlying standards like XPath, related standards like XQuery Full Text and XQuery Update, and explain the difference between XQuery and languages like Python and R. This book will afford readers the skills they need to build and analyze large-scale documentary corpora in XML. A ready-reference for faculty, graduate students, and librarians who seek to master XQuery for their projects."},\n\tlanguage = {English},\n\tauthor = {Anderson, Clifford B and Wicentowski, Joseph Charles},\n\tyear = {2020},\n\tnote = {OCLC: 1179052067},\n}\n\n
\n
\n\n\n
\n Why XQuery for humanists? – Setting up your XQuery environment – Reviewing XML and related standards – Finding your way around with XPath – XQuery basics – Next steps with XQuery – Advanced XQuery – Thinking functionally – Modifying your data with XQuery update – Searching with XQuery full text – Handling errors gracefully – Using XQuery with other digital humanities tools – Conclusion. \"\"XQuery for Humanists\" provides an informed, opinionated overview and recommends the best implementations, libraries, and paradigms to empower those who need it most. Emphasizing practical applicability, the authors go beyond the XQuery language to include the basics of underlying standards like XPath, related standards like XQuery Full Text and XQuery Update, and explain the difference between XQuery and languages like Python and R. This book will afford readers the skills they need to build and analyze large-scale documentary corpora in XML. A ready-reference for faculty, graduate students, and librarians who seek to master XQuery for their projects.\"\n
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\n  \n Andrews, T.\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n 6. ‘Black Boxes’ and True Colour —A Rhetoric of Scholarly Code.\n \n \n \n \n\n\n \n van Zundert , J.; Antonijević, S.; and Andrews, T.\n\n\n \n\n\n\n In Edmond, J., editor(s), Digital Technology and the Practices of Humanities Research, of Digital Humanities Series, pages 123–162. Open Book Publishers, Cambridge, January 2021.\n Code: Digital Technology and the Practices of Humanities Research\n\n\n\n
\n\n\n\n \n \n \"6.Paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@incollection{vanzundert_6_2021,\n\taddress = {Cambridge},\n\tseries = {Digital {Humanities} {Series}},\n\ttitle = {6. ‘{Black} {Boxes}’ and {True} {Colour} —{A} {Rhetoric} of {Scholarly} {Code}},\n\tcopyright = {CC BY 4.0},\n\tisbn = {979-10-365-6084-2},\n\turl = {http://books.openedition.org/obp/12009},\n\tlanguage = {en},\n\turldate = {2022-01-12},\n\tbooktitle = {Digital {Technology} and the {Practices} of {Humanities} {Research}},\n\tpublisher = {Open Book Publishers},\n\tauthor = {van Zundert, Joris J. and Antonijević, Smiljana and Andrews, Tara L.},\n\teditor = {Edmond, Jennifer},\n\tmonth = jan,\n\tyear = {2021},\n\tnote = {Code: Digital Technology and the Practices of Humanities Research},\n\tkeywords = {digital age, digitisation, humanities, scholarly identity, scholarly publishing, scholarship, technology},\n\tpages = {123--162},\n}\n\n
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\n  \n Antonijević, S.\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n 6. ‘Black Boxes’ and True Colour —A Rhetoric of Scholarly Code.\n \n \n \n \n\n\n \n van Zundert , J.; Antonijević, S.; and Andrews, T.\n\n\n \n\n\n\n In Edmond, J., editor(s), Digital Technology and the Practices of Humanities Research, of Digital Humanities Series, pages 123–162. Open Book Publishers, Cambridge, January 2021.\n Code: Digital Technology and the Practices of Humanities Research\n\n\n\n
\n\n\n\n \n \n \"6.Paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n
@incollection{vanzundert_6_2021,\n\taddress = {Cambridge},\n\tseries = {Digital {Humanities} {Series}},\n\ttitle = {6. ‘{Black} {Boxes}’ and {True} {Colour} —{A} {Rhetoric} of {Scholarly} {Code}},\n\tcopyright = {CC BY 4.0},\n\tisbn = {979-10-365-6084-2},\n\turl = {http://books.openedition.org/obp/12009},\n\tlanguage = {en},\n\turldate = {2022-01-12},\n\tbooktitle = {Digital {Technology} and the {Practices} of {Humanities} {Research}},\n\tpublisher = {Open Book Publishers},\n\tauthor = {van Zundert, Joris J. and Antonijević, Smiljana and Andrews, Tara L.},\n\teditor = {Edmond, Jennifer},\n\tmonth = jan,\n\tyear = {2021},\n\tnote = {Code: Digital Technology and the Practices of Humanities Research},\n\tkeywords = {digital age, digitisation, humanities, scholarly identity, scholarly publishing, scholarship, technology},\n\tpages = {123--162},\n}\n\n
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\n  \n Ares Oliveira, S.\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Transforming scholarship in the archives through handwritten text recognition: Transkribus as a case study.\n \n \n \n \n\n\n \n Muehlberger, G.; Seaward, L.; Terras, M.; Ares Oliveira, S.; Bosch, V.; Bryan, M.; Colutto, S.; Déjean, H.; Diem, M.; Fiel, S.; Gatos, B.; Greinoecker, A.; Grüning, T.; Hackl, G.; Haukkovaara, V.; Heyer, G.; Hirvonen, L.; Hodel, T.; Jokinen, M.; Kahle, P.; Kallio, M.; Kaplan, F.; Kleber, F.; Labahn, R.; Lang, E. M.; Laube, S.; Leifert, G.; Louloudis, G.; McNicholl, R.; Meunier, J.; Michael, J.; Mühlbauer, E.; Philipp, N.; Pratikakis, I.; Puigcerver Pérez, J.; Putz, H.; Retsinas, G.; Romero, V.; Sablatnig, R.; Sánchez, J. A.; Schofield, P.; Sfikas, G.; Sieber, C.; Stamatopoulos, N.; Strauß, T.; Terbul, T.; Toselli, A. H.; Ulreich, B.; Villegas, M.; Vidal, E.; Walcher, J.; Weidemann, M.; Wurster, H.; and Zagoris, K.\n\n\n \n\n\n\n Journal of Documentation, 75(5): 954–976. September 2019.\n \n\n\n\n
\n\n\n\n \n \n \"TransformingPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{muehlberger_transforming_2019,\n\ttitle = {Transforming scholarship in the archives through handwritten text recognition: {Transkribus} as a case study},\n\tvolume = {75},\n\tissn = {0022-0418},\n\tshorttitle = {Transforming scholarship in the archives through handwritten text recognition},\n\turl = {https://www.emerald.com/insight/content/doi/10.1108/JD-07-2018-0114/full/html},\n\tdoi = {10.1108/JD-07-2018-0114},\n\tabstract = {Purpose\n              \n                An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded\n                Transkribus\n                platform. It explains HTR, demonstrates\n                Transkribus\n                , gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues.\n              \n            \n            \n              Design/methodology/approach\n              This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material.\n            \n            \n              Findings\n              \n                Transkribus\n                has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified.\n              \n            \n            \n              Research limitations/implications\n              The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc.\n            \n            \n              Practical implications\n              \n                Only HTR provided via\n                Transkribus\n                is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field.\n              \n            \n            \n              Social implications\n              The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals.\n            \n            \n              Originality/value\n              This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.},\n\tlanguage = {en},\n\tnumber = {5},\n\turldate = {2020-01-02},\n\tjournal = {Journal of Documentation},\n\tauthor = {Muehlberger, Guenter and Seaward, Louise and Terras, Melissa and Ares Oliveira, Sofia and Bosch, Vicente and Bryan, Maximilian and Colutto, Sebastian and Déjean, Hervé and Diem, Markus and Fiel, Stefan and Gatos, Basilis and Greinoecker, Albert and Grüning, Tobias and Hackl, Guenter and Haukkovaara, Vili and Heyer, Gerhard and Hirvonen, Lauri and Hodel, Tobias and Jokinen, Matti and Kahle, Philip and Kallio, Mario and Kaplan, Frederic and Kleber, Florian and Labahn, Roger and Lang, Eva Maria and Laube, Sören and Leifert, Gundram and Louloudis, Georgios and McNicholl, Rory and Meunier, Jean-Luc and Michael, Johannes and Mühlbauer, Elena and Philipp, Nathanael and Pratikakis, Ioannis and Puigcerver Pérez, Joan and Putz, Hannelore and Retsinas, George and Romero, Verónica and Sablatnig, Robert and Sánchez, Joan Andreu and Schofield, Philip and Sfikas, Giorgos and Sieber, Christian and Stamatopoulos, Nikolaos and Strauß, Tobias and Terbul, Tamara and Toselli, Alejandro Héctor and Ulreich, Berthold and Villegas, Mauricio and Vidal, Enrique and Walcher, Johanna and Weidemann, Max and Wurster, Herbert and Zagoris, Konstantinos},\n\tmonth = sep,\n\tyear = {2019},\n\tpages = {954--976},\n}\n\n
\n
\n\n\n
\n Purpose An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded Transkribus platform. It explains HTR, demonstrates Transkribus , gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues. Design/methodology/approach This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material. Findings Transkribus has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified. Research limitations/implications The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc. Practical implications Only HTR provided via Transkribus is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field. Social implications The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals. Originality/value This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.\n
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\n  \n Barbot, L.\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Which DH Tools Are Actually Used in Research?.\n \n \n \n \n\n\n \n Barbot, L.; Fischer, F.; Moranville, Y.; and Pozdniakov, I.\n\n\n \n\n\n\n June 2019.\n \n\n\n\n
\n\n\n\n \n \n \"WhichPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@misc{barbot_which_2019,\n\ttitle = {Which {DH} {Tools} {Are} {Actually} {Used} in {Research}?},\n\turl = {https://weltliteratur.net/dh-tools-used-in-research/},\n\turldate = {2020-02-21},\n\tauthor = {Barbot, Laure and Fischer, Frank and Moranville, Yoann and Pozdniakov, Ivan},\n\tmonth = jun,\n\tyear = {2019},\n}\n\n
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\n  \n Becher, M.\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n XML: DTD, XML-Schema, XPath, XQuery, XSLT, XSL-FO, SAX, DOM.\n \n \n \n\n\n \n Becher, M.\n\n\n \n\n\n\n of InformatikW3L-Verlag, Herdecke Dortmund, 1., korrigierter Nachdruck edition, 2011.\n OCLC: 935145167\n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@book{becher_xml_2011,\n\taddress = {Herdecke Dortmund},\n\tedition = {1., korrigierter Nachdruck},\n\tseries = {Informatik},\n\ttitle = {{XML}: {DTD}, {XML}-{Schema}, {XPath}, {XQuery}, {XSLT}, {XSL}-{FO}, {SAX}, {DOM}},\n\tisbn = {978-3-937137-69-8},\n\tshorttitle = {{XML}},\n\tabstract = {XML (Extensible Markup Language) ist eine Auszeichnungssprache, die zur Darstellung hierarchisch strukturierter Daten benutzt wird. Sie ist von großer Bedeutung für den Austausch von Daten zwischen Computersystemen. Eine gute Darstellung, allerdings für Leser mit Vorkenntnissen, ist das Videotraining "XML" (BA 7/08). Das vorliegende Buch wendet sich an Einsteiger. Kenntnisse in HTML und in Java erleichtern aber die Lektüre. Die einzelnen Kapitel der praxisnahen Darstellung sind durch ein Sternesystem klassifiziert (Grundwissen, Vertiefungswissen, Spezialwissen, Expertenwissen). Dies erleichtert einen schnellen 1. Überblick sehr. Ergänzend angeboten wird ein kostenpflichtiger Onlinekurs mit Mentor-/Tutorunterstützung. Schwerpunkte liegen bei der modularen Dokumenterstellung, bei Techniken zur Weiterverarbeitung von XML und bei Schnittstellen zum Zugriff auf XML-Dokumente. Anschauliche Verständniskontrolle mittels eines durchgehenden Fallbeispiels "Hochschulwelt". Empfehlenswert insbesondere für Bibliotheken an Hochschulstandorten oder mit EDV-Schwerpunkt. Sehr aktuelles Literaturverzeichnis. (3)},\n\tlanguage = {ger},\n\tpublisher = {W3L-Verlag},\n\tauthor = {Becher, Margit},\n\tyear = {2011},\n\tnote = {OCLC: 935145167},\n}\n\n
\n
\n\n\n
\n XML (Extensible Markup Language) ist eine Auszeichnungssprache, die zur Darstellung hierarchisch strukturierter Daten benutzt wird. Sie ist von großer Bedeutung für den Austausch von Daten zwischen Computersystemen. Eine gute Darstellung, allerdings für Leser mit Vorkenntnissen, ist das Videotraining \"XML\" (BA 7/08). Das vorliegende Buch wendet sich an Einsteiger. Kenntnisse in HTML und in Java erleichtern aber die Lektüre. Die einzelnen Kapitel der praxisnahen Darstellung sind durch ein Sternesystem klassifiziert (Grundwissen, Vertiefungswissen, Spezialwissen, Expertenwissen). Dies erleichtert einen schnellen 1. Überblick sehr. Ergänzend angeboten wird ein kostenpflichtiger Onlinekurs mit Mentor-/Tutorunterstützung. Schwerpunkte liegen bei der modularen Dokumenterstellung, bei Techniken zur Weiterverarbeitung von XML und bei Schnittstellen zum Zugriff auf XML-Dokumente. Anschauliche Verständniskontrolle mittels eines durchgehenden Fallbeispiels \"Hochschulwelt\". Empfehlenswert insbesondere für Bibliotheken an Hochschulstandorten oder mit EDV-Schwerpunkt. Sehr aktuelles Literaturverzeichnis. (3)\n
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\n  \n Blunden, B.\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n Software Exorcism: A Handbook for Debugging and Optimizing Legacy Code.\n \n \n \n\n\n \n Blunden, B.\n\n\n \n\n\n\n Apress, Berkeley, CA, 1st ed. edition edition, September 2003.\n \n\n\n\n
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@book{blunden_software_2003,\n\taddress = {Berkeley, CA},\n\tedition = {1st ed. edition},\n\ttitle = {Software {Exorcism}: {A} {Handbook} for {Debugging} and {Optimizing} {Legacy} {Code}},\n\tisbn = {978-1-59059-234-2},\n\tshorttitle = {Software {Exorcism}},\n\tabstract = {This is a special title that will be both technically useful and visually stimulating to the reader.},\n\tlanguage = {English},\n\tpublisher = {Apress},\n\tauthor = {Blunden, Bill},\n\tmonth = sep,\n\tyear = {2003},\n}\n\n
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\n This is a special title that will be both technically useful and visually stimulating to the reader.\n
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\n  \n Bosch, V.\n \n \n (1)\n \n \n
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\n \n \n
\n \n\n \n \n \n \n \n \n Transforming scholarship in the archives through handwritten text recognition: Transkribus as a case study.\n \n \n \n \n\n\n \n Muehlberger, G.; Seaward, L.; Terras, M.; Ares Oliveira, S.; Bosch, V.; Bryan, M.; Colutto, S.; Déjean, H.; Diem, M.; Fiel, S.; Gatos, B.; Greinoecker, A.; Grüning, T.; Hackl, G.; Haukkovaara, V.; Heyer, G.; Hirvonen, L.; Hodel, T.; Jokinen, M.; Kahle, P.; Kallio, M.; Kaplan, F.; Kleber, F.; Labahn, R.; Lang, E. M.; Laube, S.; Leifert, G.; Louloudis, G.; McNicholl, R.; Meunier, J.; Michael, J.; Mühlbauer, E.; Philipp, N.; Pratikakis, I.; Puigcerver Pérez, J.; Putz, H.; Retsinas, G.; Romero, V.; Sablatnig, R.; Sánchez, J. A.; Schofield, P.; Sfikas, G.; Sieber, C.; Stamatopoulos, N.; Strauß, T.; Terbul, T.; Toselli, A. H.; Ulreich, B.; Villegas, M.; Vidal, E.; Walcher, J.; Weidemann, M.; Wurster, H.; and Zagoris, K.\n\n\n \n\n\n\n Journal of Documentation, 75(5): 954–976. September 2019.\n \n\n\n\n
\n\n\n\n \n \n \"TransformingPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{muehlberger_transforming_2019,\n\ttitle = {Transforming scholarship in the archives through handwritten text recognition: {Transkribus} as a case study},\n\tvolume = {75},\n\tissn = {0022-0418},\n\tshorttitle = {Transforming scholarship in the archives through handwritten text recognition},\n\turl = {https://www.emerald.com/insight/content/doi/10.1108/JD-07-2018-0114/full/html},\n\tdoi = {10.1108/JD-07-2018-0114},\n\tabstract = {Purpose\n              \n                An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded\n                Transkribus\n                platform. It explains HTR, demonstrates\n                Transkribus\n                , gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues.\n              \n            \n            \n              Design/methodology/approach\n              This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material.\n            \n            \n              Findings\n              \n                Transkribus\n                has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified.\n              \n            \n            \n              Research limitations/implications\n              The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc.\n            \n            \n              Practical implications\n              \n                Only HTR provided via\n                Transkribus\n                is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field.\n              \n            \n            \n              Social implications\n              The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals.\n            \n            \n              Originality/value\n              This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.},\n\tlanguage = {en},\n\tnumber = {5},\n\turldate = {2020-01-02},\n\tjournal = {Journal of Documentation},\n\tauthor = {Muehlberger, Guenter and Seaward, Louise and Terras, Melissa and Ares Oliveira, Sofia and Bosch, Vicente and Bryan, Maximilian and Colutto, Sebastian and Déjean, Hervé and Diem, Markus and Fiel, Stefan and Gatos, Basilis and Greinoecker, Albert and Grüning, Tobias and Hackl, Guenter and Haukkovaara, Vili and Heyer, Gerhard and Hirvonen, Lauri and Hodel, Tobias and Jokinen, Matti and Kahle, Philip and Kallio, Mario and Kaplan, Frederic and Kleber, Florian and Labahn, Roger and Lang, Eva Maria and Laube, Sören and Leifert, Gundram and Louloudis, Georgios and McNicholl, Rory and Meunier, Jean-Luc and Michael, Johannes and Mühlbauer, Elena and Philipp, Nathanael and Pratikakis, Ioannis and Puigcerver Pérez, Joan and Putz, Hannelore and Retsinas, George and Romero, Verónica and Sablatnig, Robert and Sánchez, Joan Andreu and Schofield, Philip and Sfikas, Giorgos and Sieber, Christian and Stamatopoulos, Nikolaos and Strauß, Tobias and Terbul, Tamara and Toselli, Alejandro Héctor and Ulreich, Berthold and Villegas, Mauricio and Vidal, Enrique and Walcher, Johanna and Weidemann, Max and Wurster, Herbert and Zagoris, Konstantinos},\n\tmonth = sep,\n\tyear = {2019},\n\tpages = {954--976},\n}\n\n
\n
\n\n\n
\n Purpose An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded Transkribus platform. It explains HTR, demonstrates Transkribus , gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues. Design/methodology/approach This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material. Findings Transkribus has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified. Research limitations/implications The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc. Practical implications Only HTR provided via Transkribus is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field. Social implications The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals. Originality/value This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.\n
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\n  \n Brodić, D.\n \n \n (1)\n \n \n
\n
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\n \n\n \n \n \n \n \n \n Classification of the Scripts in Medieval Documents from Balkan Region by Run-Length Texture Analysis.\n \n \n \n \n\n\n \n Brodić, D.; Amelio, A.; and Milivojević, Z. N.\n\n\n \n\n\n\n In Arik, S.; Huang, T.; Lai, W. K.; and Liu, Q., editor(s), Neural Information Processing, volume 9489, pages 442–450. Springer International Publishing, Cham, 2015.\n \n\n\n\n
\n\n\n\n \n \n \"ClassificationPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@incollection{arik_classification_2015,\n\taddress = {Cham},\n\ttitle = {Classification of the {Scripts} in {Medieval} {Documents} from {Balkan} {Region} by {Run}-{Length} {Texture} {Analysis}},\n\tvolume = {9489},\n\tisbn = {978-3-319-26531-5 978-3-319-26532-2},\n\turl = {http://link.springer.com/10.1007/978-3-319-26532-2_48},\n\turldate = {2018-08-14},\n\tbooktitle = {Neural {Information} {Processing}},\n\tpublisher = {Springer International Publishing},\n\tauthor = {Brodić, Darko and Amelio, Alessia and Milivojević, Zoran N.},\n\teditor = {Arik, Sabri and Huang, Tingwen and Lai, Weng Kin and Liu, Qingshan},\n\tyear = {2015},\n\tdoi = {10.1007/978-3-319-26532-2_48},\n\tpages = {442--450},\n}\n\n
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\n  \n Bryan, M.\n \n \n (1)\n \n \n
\n
\n \n \n
\n \n\n \n \n \n \n \n \n Transforming scholarship in the archives through handwritten text recognition: Transkribus as a case study.\n \n \n \n \n\n\n \n Muehlberger, G.; Seaward, L.; Terras, M.; Ares Oliveira, S.; Bosch, V.; Bryan, M.; Colutto, S.; Déjean, H.; Diem, M.; Fiel, S.; Gatos, B.; Greinoecker, A.; Grüning, T.; Hackl, G.; Haukkovaara, V.; Heyer, G.; Hirvonen, L.; Hodel, T.; Jokinen, M.; Kahle, P.; Kallio, M.; Kaplan, F.; Kleber, F.; Labahn, R.; Lang, E. M.; Laube, S.; Leifert, G.; Louloudis, G.; McNicholl, R.; Meunier, J.; Michael, J.; Mühlbauer, E.; Philipp, N.; Pratikakis, I.; Puigcerver Pérez, J.; Putz, H.; Retsinas, G.; Romero, V.; Sablatnig, R.; Sánchez, J. A.; Schofield, P.; Sfikas, G.; Sieber, C.; Stamatopoulos, N.; Strauß, T.; Terbul, T.; Toselli, A. H.; Ulreich, B.; Villegas, M.; Vidal, E.; Walcher, J.; Weidemann, M.; Wurster, H.; and Zagoris, K.\n\n\n \n\n\n\n Journal of Documentation, 75(5): 954–976. September 2019.\n \n\n\n\n
\n\n\n\n \n \n \"TransformingPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@article{muehlberger_transforming_2019,\n\ttitle = {Transforming scholarship in the archives through handwritten text recognition: {Transkribus} as a case study},\n\tvolume = {75},\n\tissn = {0022-0418},\n\tshorttitle = {Transforming scholarship in the archives through handwritten text recognition},\n\turl = {https://www.emerald.com/insight/content/doi/10.1108/JD-07-2018-0114/full/html},\n\tdoi = {10.1108/JD-07-2018-0114},\n\tabstract = {Purpose\n              \n                An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded\n                Transkribus\n                platform. It explains HTR, demonstrates\n                Transkribus\n                , gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues.\n              \n            \n            \n              Design/methodology/approach\n              This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material.\n            \n            \n              Findings\n              \n                Transkribus\n                has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified.\n              \n            \n            \n              Research limitations/implications\n              The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc.\n            \n            \n              Practical implications\n              \n                Only HTR provided via\n                Transkribus\n                is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field.\n              \n            \n            \n              Social implications\n              The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals.\n            \n            \n              Originality/value\n              This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.},\n\tlanguage = {en},\n\tnumber = {5},\n\turldate = {2020-01-02},\n\tjournal = {Journal of Documentation},\n\tauthor = {Muehlberger, Guenter and Seaward, Louise and Terras, Melissa and Ares Oliveira, Sofia and Bosch, Vicente and Bryan, Maximilian and Colutto, Sebastian and Déjean, Hervé and Diem, Markus and Fiel, Stefan and Gatos, Basilis and Greinoecker, Albert and Grüning, Tobias and Hackl, Guenter and Haukkovaara, Vili and Heyer, Gerhard and Hirvonen, Lauri and Hodel, Tobias and Jokinen, Matti and Kahle, Philip and Kallio, Mario and Kaplan, Frederic and Kleber, Florian and Labahn, Roger and Lang, Eva Maria and Laube, Sören and Leifert, Gundram and Louloudis, Georgios and McNicholl, Rory and Meunier, Jean-Luc and Michael, Johannes and Mühlbauer, Elena and Philipp, Nathanael and Pratikakis, Ioannis and Puigcerver Pérez, Joan and Putz, Hannelore and Retsinas, George and Romero, Verónica and Sablatnig, Robert and Sánchez, Joan Andreu and Schofield, Philip and Sfikas, Giorgos and Sieber, Christian and Stamatopoulos, Nikolaos and Strauß, Tobias and Terbul, Tamara and Toselli, Alejandro Héctor and Ulreich, Berthold and Villegas, Mauricio and Vidal, Enrique and Walcher, Johanna and Weidemann, Max and Wurster, Herbert and Zagoris, Konstantinos},\n\tmonth = sep,\n\tyear = {2019},\n\tpages = {954--976},\n}\n\n
\n
\n\n\n
\n Purpose An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded Transkribus platform. It explains HTR, demonstrates Transkribus , gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues. Design/methodology/approach This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material. Findings Transkribus has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified. Research limitations/implications The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc. Practical implications Only HTR provided via Transkribus is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field. Social implications The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals. Originality/value This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.\n
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\n  \n Burgers, J.\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n A Multiple-Label Guided Clustering Algorithm for Historical Document Dating and Localization.\n \n \n \n\n\n \n He, S.; Samara, P.; Burgers, J.; and Schomaker, L.\n\n\n \n\n\n\n IEEE Trans. Image Processing, 25(11): 5252–5265. 2016.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@article{he_multiple-label_2016,\n\ttitle = {A {Multiple}-{Label} {Guided} {Clustering} {Algorithm} for {Historical} {Document} {Dating} and {Localization}},\n\tvolume = {25},\n\tdoi = {10.1109/TIP.2016.2602078},\n\tnumber = {11},\n\tjournal = {IEEE Trans. Image Processing},\n\tauthor = {He, Sheng and Samara, Petros and Burgers, Jan and Schomaker, Lambert},\n\tyear = {2016},\n\tpages = {5252--5265},\n}\n\n
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\n  \n Burghardt, M.\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Usability statt Frustration.\n \n \n \n \n\n\n \n Lehenmeier, C.; and Burghardt, M.\n\n\n \n\n\n\n Gesellschaft für Informatik e.V., 2019.\n \n\n\n\n
\n\n\n\n \n \n \"UsabilityPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@book{lehenmeier_usability_2019,\n\ttitle = {Usability statt {Frustration}},\n\tisbn = {978-3-88579-689-3},\n\turl = {http://dl.gi.de/handle/20.500.12116/25042},\n\tabstract = {Der zunehmenden Verwendung computergestützter Methoden in der geisteswissenschaftlichen Forschung im Sinne der „Digital Humanities“ steht häufig eine vernachlässigte Usability der digitalen Tools gegenüber. So trägt der mangelnde Einsatz etablierter Praktiken des Usability Engineering entscheidend dazu bei, dass Erst- und Gelegenheitsnutzer\\_Innen davon abgehalten werden, digitale Ressourcen und komplexe Softwarewerkzeuge in der eigenen Forschung zu nutzen. Dies bestätigen die in diesem Beitrag präsentierten Ergebnisse einer Usability- Studie, die exemplarisch anhand der weitverbreiteten OCR-Software Transkribus durchgeführt wurde. Die Evaluationsergebnisse offenbaren teils erhebliche Usability-Probleme der Software, die durch einen nutzerzentrierten Entwicklungsprozess verhindert werden hätten können. Die Studie zeigt, dass iterative Usability-Tests ein unverzichtbares Werkzeug darstellen, um ein Tool mit hoher Benutzerfreundlichkeit zu erstellen und dessen Verwendung damit auch einer breiten Nutzerschaft aus geistes- und kulturwissenschaftlichen Domänen zu ermöglichen.},\n\tlanguage = {de},\n\turldate = {2019-10-10},\n\tpublisher = {Gesellschaft für Informatik e.V.},\n\tauthor = {Lehenmeier, Constantin and Burghardt, Manuel},\n\tyear = {2019},\n\tdoi = {10.18420/inf2019_ws10},\n}\n\n
\n
\n\n\n
\n Der zunehmenden Verwendung computergestützter Methoden in der geisteswissenschaftlichen Forschung im Sinne der „Digital Humanities“ steht häufig eine vernachlässigte Usability der digitalen Tools gegenüber. So trägt der mangelnde Einsatz etablierter Praktiken des Usability Engineering entscheidend dazu bei, dass Erst- und Gelegenheitsnutzer_Innen davon abgehalten werden, digitale Ressourcen und komplexe Softwarewerkzeuge in der eigenen Forschung zu nutzen. Dies bestätigen die in diesem Beitrag präsentierten Ergebnisse einer Usability- Studie, die exemplarisch anhand der weitverbreiteten OCR-Software Transkribus durchgeführt wurde. Die Evaluationsergebnisse offenbaren teils erhebliche Usability-Probleme der Software, die durch einen nutzerzentrierten Entwicklungsprozess verhindert werden hätten können. Die Studie zeigt, dass iterative Usability-Tests ein unverzichtbares Werkzeug darstellen, um ein Tool mit hoher Benutzerfreundlichkeit zu erstellen und dessen Verwendung damit auch einer breiten Nutzerschaft aus geistes- und kulturwissenschaftlichen Domänen zu ermöglichen.\n
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\n  \n Burkard, B.\n \n \n (1)\n \n \n
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\n \n \n
\n \n\n \n \n \n \n \n Communitybasierte Wissensproduktion am Beispiel der Erschließung mittelalterlicher Urkunden.\n \n \n \n\n\n \n Burkard, B.\n\n\n \n\n\n\n In Alte Archive – Neue Technologien/ Old Archives – New Technologies. Ed. Aigner, Thomas & Winter, Karin, St. Pölten : Bischöfliches Ordinariat St. Pölten, Diözesanarchiv, 2006. 280 Pp., pages 169–181. Bischöfliches Ordinariat St. Pölten, Diözesanarchiv, St. Pölten, 2006.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@incollection{burkard_communitybasierte_2006,\n\taddress = {St. Pölten},\n\ttitle = {Communitybasierte {Wissensproduktion} am {Beispiel} der {Erschließung} mittelalterlicher {Urkunden}},\n\tisbn = {978-3-901863-26-4},\n\tbooktitle = {Alte {Archive} -- {Neue} {Technologien}/ {Old} {Archives} -- {New} {Technologies}. {Ed}. {Aigner}, {Thomas} \\& {Winter}, {Karin}, {St}. {Pölten} : {Bischöfliches} {Ordinariat} {St}. {Pölten}, {Diözesanarchiv}, 2006. 280 {Pp}.},\n\tpublisher = {Bischöfliches Ordinariat St. Pölten, Diözesanarchiv},\n\tauthor = {Burkard, Benjamin},\n\tyear = {2006},\n\tpages = {169--181},\n}\n\n
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\n  \n Camden, R.\n \n \n (2)\n \n \n
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\n \n\n \n \n \n \n \n Working with Static Sites: Bringing the Power of Simplicity to Modern Sites.\n \n \n \n\n\n \n Camden, R.; and Rinaldi, B.\n\n\n \n\n\n\n O'Reilly Media, 1st edition edition, March 2017.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@book{camden_working_2017,\n\tedition = {1st edition},\n\ttitle = {Working with {Static} {Sites}: {Bringing} the {Power} of {Simplicity} to {Modern} {Sites}},\n\tshorttitle = {Working with {Static} {Sites}},\n\tabstract = {Just like vinyl LPs, static sites are making a comeback, evidenced by the wide array of static-site generators now available. This practical book shows you hands-on how to build these simple sites for blogs and other use cases, and how to make them more powerful. In the process, you’ll work with some of today’s more mature and popular static-site generators.Authors Raymond Camden and Brian Rinaldi explain the advantages of using static-site generators for building fast and secure sites. Web and frontend designers and developers will also explore methods for adding dynamic elements and for migrating an existing CMS to a static site.Build a basic four-page static site with the Harp generatorCreate a simple blog with JekyllDevelop a documentation site with Hugo by generating site files and creating the layoutAdd dynamic elements, such as forms, comments, and searchIntegrate a CMS with tools such as CloudCannon and Netlify CMSUse one of several options to deploy your static filesLearn methods for moving an existing CMS to a static site},\n\tlanguage = {English},\n\tpublisher = {O'Reilly Media},\n\tauthor = {Camden, Raymond and Rinaldi, Brian},\n\tmonth = mar,\n\tyear = {2017},\n}\n\n
\n
\n\n\n
\n Just like vinyl LPs, static sites are making a comeback, evidenced by the wide array of static-site generators now available. This practical book shows you hands-on how to build these simple sites for blogs and other use cases, and how to make them more powerful. In the process, you’ll work with some of today’s more mature and popular static-site generators.Authors Raymond Camden and Brian Rinaldi explain the advantages of using static-site generators for building fast and secure sites. Web and frontend designers and developers will also explore methods for adding dynamic elements and for migrating an existing CMS to a static site.Build a basic four-page static site with the Harp generatorCreate a simple blog with JekyllDevelop a documentation site with Hugo by generating site files and creating the layoutAdd dynamic elements, such as forms, comments, and searchIntegrate a CMS with tools such as CloudCannon and Netlify CMSUse one of several options to deploy your static filesLearn methods for moving an existing CMS to a static site\n
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\n \n\n \n \n \n \n \n The Jamstack Book: Beyond static sites with JavaScript, APIs, and markup.\n \n \n \n\n\n \n Camden, R.; and Rinaldi, B.\n\n\n \n\n\n\n Manning, Shelter Island, NY, July 2022.\n \n\n\n\n
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@book{camden_jamstack_2022,\n\taddress = {Shelter Island, NY},\n\ttitle = {The {Jamstack} {Book}: {Beyond} static sites with {JavaScript}, {APIs}, and markup},\n\tisbn = {978-1-61729-888-2},\n\tshorttitle = {The {Jamstack} {Book}},\n\tabstract = {Jamstack = JavaScript, APIs, and Markup. Use established standard technologies to build super-fast static websites without sacrificing rich, dynamic features.In The Jamstack Book, you will learn how to: Use different static site generators to build websites Deploy Jamstack sites with 11ty, Next.js, Hugo, and Jekyll Add dynamic capabilities like form processing and eCommerce Enhance your Jamstack site with serverless capabilities Integrate a CMS with a Jamstack site  Jamstack sites use JavaScript, APIs, and Markup to create fast, dynamic pages without the overhead of heavyweight frameworks. The Jamstack Book is your essential guide to this exciting new web architecture. Written by renowned Jamstack experts Raymond Camden and Brian Rinaldi, it’s filled with real-world projects to develop and hone your skills. You’ll learn how to lay out and generate a site, set up your own CMS, and add dynamic features like user logins and search functionality. Confusing jargon is demystified. Plus, you’ll get the chance to try out different static site generators and find the one that works best for you. Pick up this book today, and you’ll discover how the Jamstack answers your need for speed and simplicity.  Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.  About the technology JavaScript, APIs, and pre-rendered Markup put the JAM in Jamstack. This modern web architecture delivers the quick load times of static sites along with the dynamic functionality you need for user-friendly interactive features. Built with lightweight standards and tools, Jamstack sites are fast, secure, easy to maintain, and naturally optimized for mobile and SEO.  About the book The Jamstack Book teaches effectively by creating a portfolio of sites, ranging from a simple blog to an eCommerce store. Each new project introduces important skills, including cloud deployment, user logins, and search. You’ll get hands-on experience with tools like 11ty, Next.js, and Netlify. As your skills grow, the examples become more sophisticated, including serverless technology, dynamic forms, and an integrated CMS.  What's inside Use different static site generators to build websites Add dynamic capabilities like form processing and eCommerce Enhance your Jamstack site with serverless capabilities Integrate a CMS with a Jamstack site About the reader For web developers and CMS site developers.  About the author Raymond Camden is the author of multiple books on web development and has been blogging and presenting for almost twenty years. Brian Rinaldi has been involved in static site and Jamstack development since the early days.  Table of Contents 1 Why Jamstack? 2 Building a basic Jamstack site 3 Building a blog 4 Building a documentation site 5 Building an e-commerce site 6 Deployment 7 Adding dynamic elements 8 Working with serverless computing 9 Adding a content management system 10 Migrating to the Jamstack},\n\tlanguage = {English},\n\tpublisher = {Manning},\n\tauthor = {Camden, Raymond and Rinaldi, Brian},\n\tmonth = jul,\n\tyear = {2022},\n}\n\n
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\n Jamstack = JavaScript, APIs, and Markup. Use established standard technologies to build super-fast static websites without sacrificing rich, dynamic features.In The Jamstack Book, you will learn how to: Use different static site generators to build websites Deploy Jamstack sites with 11ty, Next.js, Hugo, and Jekyll Add dynamic capabilities like form processing and eCommerce Enhance your Jamstack site with serverless capabilities Integrate a CMS with a Jamstack site Jamstack sites use JavaScript, APIs, and Markup to create fast, dynamic pages without the overhead of heavyweight frameworks. The Jamstack Book is your essential guide to this exciting new web architecture. Written by renowned Jamstack experts Raymond Camden and Brian Rinaldi, it’s filled with real-world projects to develop and hone your skills. You’ll learn how to lay out and generate a site, set up your own CMS, and add dynamic features like user logins and search functionality. Confusing jargon is demystified. Plus, you’ll get the chance to try out different static site generators and find the one that works best for you. Pick up this book today, and you’ll discover how the Jamstack answers your need for speed and simplicity. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology JavaScript, APIs, and pre-rendered Markup put the JAM in Jamstack. This modern web architecture delivers the quick load times of static sites along with the dynamic functionality you need for user-friendly interactive features. Built with lightweight standards and tools, Jamstack sites are fast, secure, easy to maintain, and naturally optimized for mobile and SEO. About the book The Jamstack Book teaches effectively by creating a portfolio of sites, ranging from a simple blog to an eCommerce store. Each new project introduces important skills, including cloud deployment, user logins, and search. You’ll get hands-on experience with tools like 11ty, Next.js, and Netlify. As your skills grow, the examples become more sophisticated, including serverless technology, dynamic forms, and an integrated CMS. What's inside Use different static site generators to build websites Add dynamic capabilities like form processing and eCommerce Enhance your Jamstack site with serverless capabilities Integrate a CMS with a Jamstack site About the reader For web developers and CMS site developers. About the author Raymond Camden is the author of multiple books on web development and has been blogging and presenting for almost twenty years. Brian Rinaldi has been involved in static site and Jamstack development since the early days. Table of Contents 1 Why Jamstack? 2 Building a basic Jamstack site 3 Building a blog 4 Building a documentation site 5 Building an e-commerce site 6 Deployment 7 Adding dynamic elements 8 Working with serverless computing 9 Adding a content management system 10 Migrating to the Jamstack\n
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\n  \n Chiriacescu, V.\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Improving learning of computational thinking using creative thinking exercises in CS-1 computer science courses.\n \n \n \n \n\n\n \n Miller, L. D.; Soh, L.; Chiriacescu, V.; Ingraham, E.; Shell, D. F.; Ramsay, S.; and Hazley, M. P.\n\n\n \n\n\n\n In 2013 IEEE Frontiers in Education Conference (FIE), pages 1426–1432, Oklahoma City, OK, USA, October 2013. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"ImprovingPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{miller_improving_2013,\n\taddress = {Oklahoma City, OK, USA},\n\ttitle = {Improving learning of computational thinking using creative thinking exercises in {CS}-1 computer science courses},\n\tisbn = {978-1-4673-5261-1},\n\turl = {http://ieeexplore.ieee.org/document/6685067/},\n\tdoi = {10.1109/FIE.2013.6685067},\n\turldate = {2020-01-14},\n\tbooktitle = {2013 {IEEE} {Frontiers} in {Education} {Conference} ({FIE})},\n\tpublisher = {IEEE},\n\tauthor = {Miller, L. Dee and Soh, Leen-Kiat and Chiriacescu, Vlad and Ingraham, Elizabeth and Shell, Duane F. and Ramsay, Stephen and Hazley, Melissa Patterson},\n\tmonth = oct,\n\tyear = {2013},\n\tpages = {1426--1432},\n}\n\n
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\n  \n Colutto, S.\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Transforming scholarship in the archives through handwritten text recognition: Transkribus as a case study.\n \n \n \n \n\n\n \n Muehlberger, G.; Seaward, L.; Terras, M.; Ares Oliveira, S.; Bosch, V.; Bryan, M.; Colutto, S.; Déjean, H.; Diem, M.; Fiel, S.; Gatos, B.; Greinoecker, A.; Grüning, T.; Hackl, G.; Haukkovaara, V.; Heyer, G.; Hirvonen, L.; Hodel, T.; Jokinen, M.; Kahle, P.; Kallio, M.; Kaplan, F.; Kleber, F.; Labahn, R.; Lang, E. M.; Laube, S.; Leifert, G.; Louloudis, G.; McNicholl, R.; Meunier, J.; Michael, J.; Mühlbauer, E.; Philipp, N.; Pratikakis, I.; Puigcerver Pérez, J.; Putz, H.; Retsinas, G.; Romero, V.; Sablatnig, R.; Sánchez, J. A.; Schofield, P.; Sfikas, G.; Sieber, C.; Stamatopoulos, N.; Strauß, T.; Terbul, T.; Toselli, A. H.; Ulreich, B.; Villegas, M.; Vidal, E.; Walcher, J.; Weidemann, M.; Wurster, H.; and Zagoris, K.\n\n\n \n\n\n\n Journal of Documentation, 75(5): 954–976. September 2019.\n \n\n\n\n
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@article{muehlberger_transforming_2019,\n\ttitle = {Transforming scholarship in the archives through handwritten text recognition: {Transkribus} as a case study},\n\tvolume = {75},\n\tissn = {0022-0418},\n\tshorttitle = {Transforming scholarship in the archives through handwritten text recognition},\n\turl = {https://www.emerald.com/insight/content/doi/10.1108/JD-07-2018-0114/full/html},\n\tdoi = {10.1108/JD-07-2018-0114},\n\tabstract = {Purpose\n              \n                An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded\n                Transkribus\n                platform. It explains HTR, demonstrates\n                Transkribus\n                , gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues.\n              \n            \n            \n              Design/methodology/approach\n              This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material.\n            \n            \n              Findings\n              \n                Transkribus\n                has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified.\n              \n            \n            \n              Research limitations/implications\n              The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc.\n            \n            \n              Practical implications\n              \n                Only HTR provided via\n                Transkribus\n                is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field.\n              \n            \n            \n              Social implications\n              The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals.\n            \n            \n              Originality/value\n              This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.},\n\tlanguage = {en},\n\tnumber = {5},\n\turldate = {2020-01-02},\n\tjournal = {Journal of Documentation},\n\tauthor = {Muehlberger, Guenter and Seaward, Louise and Terras, Melissa and Ares Oliveira, Sofia and Bosch, Vicente and Bryan, Maximilian and Colutto, Sebastian and Déjean, Hervé and Diem, Markus and Fiel, Stefan and Gatos, Basilis and Greinoecker, Albert and Grüning, Tobias and Hackl, Guenter and Haukkovaara, Vili and Heyer, Gerhard and Hirvonen, Lauri and Hodel, Tobias and Jokinen, Matti and Kahle, Philip and Kallio, Mario and Kaplan, Frederic and Kleber, Florian and Labahn, Roger and Lang, Eva Maria and Laube, Sören and Leifert, Gundram and Louloudis, Georgios and McNicholl, Rory and Meunier, Jean-Luc and Michael, Johannes and Mühlbauer, Elena and Philipp, Nathanael and Pratikakis, Ioannis and Puigcerver Pérez, Joan and Putz, Hannelore and Retsinas, George and Romero, Verónica and Sablatnig, Robert and Sánchez, Joan Andreu and Schofield, Philip and Sfikas, Giorgos and Sieber, Christian and Stamatopoulos, Nikolaos and Strauß, Tobias and Terbul, Tamara and Toselli, Alejandro Héctor and Ulreich, Berthold and Villegas, Mauricio and Vidal, Enrique and Walcher, Johanna and Weidemann, Max and Wurster, Herbert and Zagoris, Konstantinos},\n\tmonth = sep,\n\tyear = {2019},\n\tpages = {954--976},\n}\n\n
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\n Purpose An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded Transkribus platform. It explains HTR, demonstrates Transkribus , gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues. Design/methodology/approach This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material. Findings Transkribus has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified. Research limitations/implications The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc. Practical implications Only HTR provided via Transkribus is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field. Social implications The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals. Originality/value This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.\n
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\n  \n Colutto, Se\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n Handwritten Text Recognition (HTR) of Historical Documents as a Shared Task for Archivists, Computer Scientists and Humanities Scholars: The Model of a Transcription & Recognition Platform (TRP).\n \n \n \n\n\n \n Mühlberger, Günter; Kahle, Philip; and Colutto, Sebastian\n\n\n \n\n\n\n HistoInformatics 2014. .\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{muhlberger_gunter_handwritten_nodate,\n\ttitle = {Handwritten {Text} {Recognition} ({HTR}) of {Historical} {Documents} as a {Shared} {Task} for {Archivists}, {Computer} {Scientists} and {Humanities} {Scholars}: {The} {Model} of a {Transcription} \\& {Recognition} {Platform} ({TRP}).},\n\tjournal = {HistoInformatics 2014},\n\tauthor = {{Mühlberger, Günter} and {Kahle, Philip} and {Colutto, Sebastian}},\n}\n\n
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\n  \n Davis, R.\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n TranScriptorium: a European Project on Handwritten Text Recognition.\n \n \n \n\n\n \n Sánchez, J.; Mühlberger, G.; Gatos, B.; Schofield, P.; Depuydt, K.; Davis, R.; Vidal, E.; and de Does, J.\n\n\n \n\n\n\n In Marinai, S.; and Marriott, K., editor(s), ACM Symposium on Document Engineering DOCENG, pages 227–228, 2013. ACM\n tex.crossref: conf/doceng/2013\n\n\n\n
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@inproceedings{conf/doceng/SanchezMGSDDVD13,\n\ttitle = {{TranScriptorium}: a {European} {Project} on {Handwritten} {Text} {Recognition}.},\n\tbooktitle = {{ACM} {Symposium} on {Document} {Engineering} {DOCENG}},\n\tpublisher = {ACM},\n\tauthor = {Sánchez, J.A. and Mühlberger, G. and Gatos, B. and Schofield, P. and Depuydt, K. and Davis, R.M. and Vidal, E. and de Does, J.},\n\teditor = {Marinai, Simone and Marriott, Kim},\n\tyear = {2013},\n\tnote = {tex.crossref: conf/doceng/2013},\n\tpages = {227--228},\n}\n\n
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\n  \n Depuydt, K.\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n TranScriptorium: a European Project on Handwritten Text Recognition.\n \n \n \n\n\n \n Sánchez, J.; Mühlberger, G.; Gatos, B.; Schofield, P.; Depuydt, K.; Davis, R.; Vidal, E.; and de Does, J.\n\n\n \n\n\n\n In Marinai, S.; and Marriott, K., editor(s), ACM Symposium on Document Engineering DOCENG, pages 227–228, 2013. ACM\n tex.crossref: conf/doceng/2013\n\n\n\n
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@inproceedings{conf/doceng/SanchezMGSDDVD13,\n\ttitle = {{TranScriptorium}: a {European} {Project} on {Handwritten} {Text} {Recognition}.},\n\tbooktitle = {{ACM} {Symposium} on {Document} {Engineering} {DOCENG}},\n\tpublisher = {ACM},\n\tauthor = {Sánchez, J.A. and Mühlberger, G. and Gatos, B. and Schofield, P. and Depuydt, K. and Davis, R.M. and Vidal, E. and de Does, J.},\n\teditor = {Marinai, Simone and Marriott, Kim},\n\tyear = {2013},\n\tnote = {tex.crossref: conf/doceng/2013},\n\tpages = {227--228},\n}\n\n
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\n  \n Diem, M.\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Transforming scholarship in the archives through handwritten text recognition: Transkribus as a case study.\n \n \n \n \n\n\n \n Muehlberger, G.; Seaward, L.; Terras, M.; Ares Oliveira, S.; Bosch, V.; Bryan, M.; Colutto, S.; Déjean, H.; Diem, M.; Fiel, S.; Gatos, B.; Greinoecker, A.; Grüning, T.; Hackl, G.; Haukkovaara, V.; Heyer, G.; Hirvonen, L.; Hodel, T.; Jokinen, M.; Kahle, P.; Kallio, M.; Kaplan, F.; Kleber, F.; Labahn, R.; Lang, E. M.; Laube, S.; Leifert, G.; Louloudis, G.; McNicholl, R.; Meunier, J.; Michael, J.; Mühlbauer, E.; Philipp, N.; Pratikakis, I.; Puigcerver Pérez, J.; Putz, H.; Retsinas, G.; Romero, V.; Sablatnig, R.; Sánchez, J. A.; Schofield, P.; Sfikas, G.; Sieber, C.; Stamatopoulos, N.; Strauß, T.; Terbul, T.; Toselli, A. H.; Ulreich, B.; Villegas, M.; Vidal, E.; Walcher, J.; Weidemann, M.; Wurster, H.; and Zagoris, K.\n\n\n \n\n\n\n Journal of Documentation, 75(5): 954–976. September 2019.\n \n\n\n\n
\n\n\n\n \n \n \"TransformingPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{muehlberger_transforming_2019,\n\ttitle = {Transforming scholarship in the archives through handwritten text recognition: {Transkribus} as a case study},\n\tvolume = {75},\n\tissn = {0022-0418},\n\tshorttitle = {Transforming scholarship in the archives through handwritten text recognition},\n\turl = {https://www.emerald.com/insight/content/doi/10.1108/JD-07-2018-0114/full/html},\n\tdoi = {10.1108/JD-07-2018-0114},\n\tabstract = {Purpose\n              \n                An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded\n                Transkribus\n                platform. It explains HTR, demonstrates\n                Transkribus\n                , gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues.\n              \n            \n            \n              Design/methodology/approach\n              This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material.\n            \n            \n              Findings\n              \n                Transkribus\n                has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified.\n              \n            \n            \n              Research limitations/implications\n              The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc.\n            \n            \n              Practical implications\n              \n                Only HTR provided via\n                Transkribus\n                is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field.\n              \n            \n            \n              Social implications\n              The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals.\n            \n            \n              Originality/value\n              This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.},\n\tlanguage = {en},\n\tnumber = {5},\n\turldate = {2020-01-02},\n\tjournal = {Journal of Documentation},\n\tauthor = {Muehlberger, Guenter and Seaward, Louise and Terras, Melissa and Ares Oliveira, Sofia and Bosch, Vicente and Bryan, Maximilian and Colutto, Sebastian and Déjean, Hervé and Diem, Markus and Fiel, Stefan and Gatos, Basilis and Greinoecker, Albert and Grüning, Tobias and Hackl, Guenter and Haukkovaara, Vili and Heyer, Gerhard and Hirvonen, Lauri and Hodel, Tobias and Jokinen, Matti and Kahle, Philip and Kallio, Mario and Kaplan, Frederic and Kleber, Florian and Labahn, Roger and Lang, Eva Maria and Laube, Sören and Leifert, Gundram and Louloudis, Georgios and McNicholl, Rory and Meunier, Jean-Luc and Michael, Johannes and Mühlbauer, Elena and Philipp, Nathanael and Pratikakis, Ioannis and Puigcerver Pérez, Joan and Putz, Hannelore and Retsinas, George and Romero, Verónica and Sablatnig, Robert and Sánchez, Joan Andreu and Schofield, Philip and Sfikas, Giorgos and Sieber, Christian and Stamatopoulos, Nikolaos and Strauß, Tobias and Terbul, Tamara and Toselli, Alejandro Héctor and Ulreich, Berthold and Villegas, Mauricio and Vidal, Enrique and Walcher, Johanna and Weidemann, Max and Wurster, Herbert and Zagoris, Konstantinos},\n\tmonth = sep,\n\tyear = {2019},\n\tpages = {954--976},\n}\n\n
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\n Purpose An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded Transkribus platform. It explains HTR, demonstrates Transkribus , gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues. Design/methodology/approach This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material. Findings Transkribus has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified. Research limitations/implications The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc. Practical implications Only HTR provided via Transkribus is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field. Social implications The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals. Originality/value This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.\n
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\n  \n Dolan, J.\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Usability-Analyse von digitalen Tools und Methoden in den Geisteswissenschaften.\n \n \n \n \n\n\n \n Simon, T.; Dolan, J.; Schmitt, A.; and Pagel, S.\n\n\n \n\n\n\n Gesellschaft für Informatik e.V., 2019.\n \n\n\n\n
\n\n\n\n \n \n \"Usability-AnalysePaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@book{simon_usability-analyse_2019,\n\ttitle = {Usability-{Analyse} von digitalen {Tools} und {Methoden} in den {Geisteswissenschaften}},\n\tisbn = {978-3-88579-689-3},\n\turl = {http://dl.gi.de/handle/20.500.12116/25043},\n\tabstract = {Fehlende Usability ist ein häufig auftretendes Problem von Tools aus dem geisteswissenschaftlicher Forschungskontext. In dieser Studie werden Tools, die im Editionsprozess eingesetzt werden, systematisch untersucht. Dabei wird auf einen Methodenmix aus Eyetracking und Gruppendiskussionen gesetzt. Die bisherigen Erkenntnisse geben einen Eindruck über typische Probleme, methodische Auswertungsmöglichkeiten und konkrete Empfehlungen für Verbesserungen der Tools.},\n\tlanguage = {de},\n\turldate = {2019-10-10},\n\tpublisher = {Gesellschaft für Informatik e.V.},\n\tauthor = {Simon, Tobias and Dolan, Jana and Schmitt, Alexander and Pagel, Sven},\n\tyear = {2019},\n\tdoi = {10.18420/inf2019_ws11},\n}\n
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\n Fehlende Usability ist ein häufig auftretendes Problem von Tools aus dem geisteswissenschaftlicher Forschungskontext. In dieser Studie werden Tools, die im Editionsprozess eingesetzt werden, systematisch untersucht. Dabei wird auf einen Methodenmix aus Eyetracking und Gruppendiskussionen gesetzt. Die bisherigen Erkenntnisse geben einen Eindruck über typische Probleme, methodische Auswertungsmöglichkeiten und konkrete Empfehlungen für Verbesserungen der Tools.\n
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\n  \n Déjean, H.\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Transforming scholarship in the archives through handwritten text recognition: Transkribus as a case study.\n \n \n \n \n\n\n \n Muehlberger, G.; Seaward, L.; Terras, M.; Ares Oliveira, S.; Bosch, V.; Bryan, M.; Colutto, S.; Déjean, H.; Diem, M.; Fiel, S.; Gatos, B.; Greinoecker, A.; Grüning, T.; Hackl, G.; Haukkovaara, V.; Heyer, G.; Hirvonen, L.; Hodel, T.; Jokinen, M.; Kahle, P.; Kallio, M.; Kaplan, F.; Kleber, F.; Labahn, R.; Lang, E. M.; Laube, S.; Leifert, G.; Louloudis, G.; McNicholl, R.; Meunier, J.; Michael, J.; Mühlbauer, E.; Philipp, N.; Pratikakis, I.; Puigcerver Pérez, J.; Putz, H.; Retsinas, G.; Romero, V.; Sablatnig, R.; Sánchez, J. A.; Schofield, P.; Sfikas, G.; Sieber, C.; Stamatopoulos, N.; Strauß, T.; Terbul, T.; Toselli, A. H.; Ulreich, B.; Villegas, M.; Vidal, E.; Walcher, J.; Weidemann, M.; Wurster, H.; and Zagoris, K.\n\n\n \n\n\n\n Journal of Documentation, 75(5): 954–976. September 2019.\n \n\n\n\n
\n\n\n\n \n \n \"TransformingPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{muehlberger_transforming_2019,\n\ttitle = {Transforming scholarship in the archives through handwritten text recognition: {Transkribus} as a case study},\n\tvolume = {75},\n\tissn = {0022-0418},\n\tshorttitle = {Transforming scholarship in the archives through handwritten text recognition},\n\turl = {https://www.emerald.com/insight/content/doi/10.1108/JD-07-2018-0114/full/html},\n\tdoi = {10.1108/JD-07-2018-0114},\n\tabstract = {Purpose\n              \n                An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded\n                Transkribus\n                platform. It explains HTR, demonstrates\n                Transkribus\n                , gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues.\n              \n            \n            \n              Design/methodology/approach\n              This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material.\n            \n            \n              Findings\n              \n                Transkribus\n                has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified.\n              \n            \n            \n              Research limitations/implications\n              The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc.\n            \n            \n              Practical implications\n              \n                Only HTR provided via\n                Transkribus\n                is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field.\n              \n            \n            \n              Social implications\n              The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals.\n            \n            \n              Originality/value\n              This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.},\n\tlanguage = {en},\n\tnumber = {5},\n\turldate = {2020-01-02},\n\tjournal = {Journal of Documentation},\n\tauthor = {Muehlberger, Guenter and Seaward, Louise and Terras, Melissa and Ares Oliveira, Sofia and Bosch, Vicente and Bryan, Maximilian and Colutto, Sebastian and Déjean, Hervé and Diem, Markus and Fiel, Stefan and Gatos, Basilis and Greinoecker, Albert and Grüning, Tobias and Hackl, Guenter and Haukkovaara, Vili and Heyer, Gerhard and Hirvonen, Lauri and Hodel, Tobias and Jokinen, Matti and Kahle, Philip and Kallio, Mario and Kaplan, Frederic and Kleber, Florian and Labahn, Roger and Lang, Eva Maria and Laube, Sören and Leifert, Gundram and Louloudis, Georgios and McNicholl, Rory and Meunier, Jean-Luc and Michael, Johannes and Mühlbauer, Elena and Philipp, Nathanael and Pratikakis, Ioannis and Puigcerver Pérez, Joan and Putz, Hannelore and Retsinas, George and Romero, Verónica and Sablatnig, Robert and Sánchez, Joan Andreu and Schofield, Philip and Sfikas, Giorgos and Sieber, Christian and Stamatopoulos, Nikolaos and Strauß, Tobias and Terbul, Tamara and Toselli, Alejandro Héctor and Ulreich, Berthold and Villegas, Mauricio and Vidal, Enrique and Walcher, Johanna and Weidemann, Max and Wurster, Herbert and Zagoris, Konstantinos},\n\tmonth = sep,\n\tyear = {2019},\n\tpages = {954--976},\n}\n\n
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\n Purpose An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded Transkribus platform. It explains HTR, demonstrates Transkribus , gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues. Design/methodology/approach This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material. Findings Transkribus has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified. Research limitations/implications The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc. Practical implications Only HTR provided via Transkribus is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field. Social implications The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals. Originality/value This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.\n
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\n  \n El Hassane, G.\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n The eScriptorium VRE for Manuscript Cultures – Classics@ Journal.\n \n \n \n \n\n\n \n Stokes, P. A.; Kiessling, B.; Stökl Ben Ezra, D.; Tissot, R.; and El Hassane, G.\n\n\n \n\n\n\n Classics@, 18. 2021.\n \n\n\n\n
\n\n\n\n \n \n \"ThePaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{stokes_escriptorium_2021,\n\ttitle = {The {eScriptorium} {VRE} for {Manuscript} {Cultures} – {Classics}@ {Journal}},\n\tvolume = {18},\n\turl = {https://classics-at.chs.harvard.edu/the-escriptorium-vre-for-manuscript-cultures/},\n\tlanguage = {en-US},\n\turldate = {2021-08-05},\n\tjournal = {Classics@},\n\tauthor = {Stokes, Peter A. and Kiessling, Benjamin and Stökl Ben Ezra, Daniel and Tissot, Robin and El Hassane, Gargem},\n\tyear = {2021},\n}\n\n
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\n  \n Fiel, S.\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Transforming scholarship in the archives through handwritten text recognition: Transkribus as a case study.\n \n \n \n \n\n\n \n Muehlberger, G.; Seaward, L.; Terras, M.; Ares Oliveira, S.; Bosch, V.; Bryan, M.; Colutto, S.; Déjean, H.; Diem, M.; Fiel, S.; Gatos, B.; Greinoecker, A.; Grüning, T.; Hackl, G.; Haukkovaara, V.; Heyer, G.; Hirvonen, L.; Hodel, T.; Jokinen, M.; Kahle, P.; Kallio, M.; Kaplan, F.; Kleber, F.; Labahn, R.; Lang, E. M.; Laube, S.; Leifert, G.; Louloudis, G.; McNicholl, R.; Meunier, J.; Michael, J.; Mühlbauer, E.; Philipp, N.; Pratikakis, I.; Puigcerver Pérez, J.; Putz, H.; Retsinas, G.; Romero, V.; Sablatnig, R.; Sánchez, J. A.; Schofield, P.; Sfikas, G.; Sieber, C.; Stamatopoulos, N.; Strauß, T.; Terbul, T.; Toselli, A. H.; Ulreich, B.; Villegas, M.; Vidal, E.; Walcher, J.; Weidemann, M.; Wurster, H.; and Zagoris, K.\n\n\n \n\n\n\n Journal of Documentation, 75(5): 954–976. September 2019.\n \n\n\n\n
\n\n\n\n \n \n \"TransformingPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{muehlberger_transforming_2019,\n\ttitle = {Transforming scholarship in the archives through handwritten text recognition: {Transkribus} as a case study},\n\tvolume = {75},\n\tissn = {0022-0418},\n\tshorttitle = {Transforming scholarship in the archives through handwritten text recognition},\n\turl = {https://www.emerald.com/insight/content/doi/10.1108/JD-07-2018-0114/full/html},\n\tdoi = {10.1108/JD-07-2018-0114},\n\tabstract = {Purpose\n              \n                An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded\n                Transkribus\n                platform. It explains HTR, demonstrates\n                Transkribus\n                , gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues.\n              \n            \n            \n              Design/methodology/approach\n              This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material.\n            \n            \n              Findings\n              \n                Transkribus\n                has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified.\n              \n            \n            \n              Research limitations/implications\n              The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc.\n            \n            \n              Practical implications\n              \n                Only HTR provided via\n                Transkribus\n                is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field.\n              \n            \n            \n              Social implications\n              The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals.\n            \n            \n              Originality/value\n              This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.},\n\tlanguage = {en},\n\tnumber = {5},\n\turldate = {2020-01-02},\n\tjournal = {Journal of Documentation},\n\tauthor = {Muehlberger, Guenter and Seaward, Louise and Terras, Melissa and Ares Oliveira, Sofia and Bosch, Vicente and Bryan, Maximilian and Colutto, Sebastian and Déjean, Hervé and Diem, Markus and Fiel, Stefan and Gatos, Basilis and Greinoecker, Albert and Grüning, Tobias and Hackl, Guenter and Haukkovaara, Vili and Heyer, Gerhard and Hirvonen, Lauri and Hodel, Tobias and Jokinen, Matti and Kahle, Philip and Kallio, Mario and Kaplan, Frederic and Kleber, Florian and Labahn, Roger and Lang, Eva Maria and Laube, Sören and Leifert, Gundram and Louloudis, Georgios and McNicholl, Rory and Meunier, Jean-Luc and Michael, Johannes and Mühlbauer, Elena and Philipp, Nathanael and Pratikakis, Ioannis and Puigcerver Pérez, Joan and Putz, Hannelore and Retsinas, George and Romero, Verónica and Sablatnig, Robert and Sánchez, Joan Andreu and Schofield, Philip and Sfikas, Giorgos and Sieber, Christian and Stamatopoulos, Nikolaos and Strauß, Tobias and Terbul, Tamara and Toselli, Alejandro Héctor and Ulreich, Berthold and Villegas, Mauricio and Vidal, Enrique and Walcher, Johanna and Weidemann, Max and Wurster, Herbert and Zagoris, Konstantinos},\n\tmonth = sep,\n\tyear = {2019},\n\tpages = {954--976},\n}\n\n
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\n Purpose An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded Transkribus platform. It explains HTR, demonstrates Transkribus , gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues. Design/methodology/approach This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material. Findings Transkribus has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified. Research limitations/implications The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc. Practical implications Only HTR provided via Transkribus is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field. Social implications The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals. Originality/value This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.\n
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\n  \n Fischer, F.\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Which DH Tools Are Actually Used in Research?.\n \n \n \n \n\n\n \n Barbot, L.; Fischer, F.; Moranville, Y.; and Pozdniakov, I.\n\n\n \n\n\n\n June 2019.\n \n\n\n\n
\n\n\n\n \n \n \"WhichPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@misc{barbot_which_2019,\n\ttitle = {Which {DH} {Tools} {Are} {Actually} {Used} in {Research}?},\n\turl = {https://weltliteratur.net/dh-tools-used-in-research/},\n\turldate = {2020-02-21},\n\tauthor = {Barbot, Laure and Fischer, Frank and Moranville, Yoann and Pozdniakov, Ivan},\n\tmonth = jun,\n\tyear = {2019},\n}\n\n
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\n  \n Gatos, B.\n \n \n (2)\n \n \n
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\n \n\n \n \n \n \n \n TranScriptorium: a European Project on Handwritten Text Recognition.\n \n \n \n\n\n \n Sánchez, J.; Mühlberger, G.; Gatos, B.; Schofield, P.; Depuydt, K.; Davis, R.; Vidal, E.; and de Does, J.\n\n\n \n\n\n\n In Marinai, S.; and Marriott, K., editor(s), ACM Symposium on Document Engineering DOCENG, pages 227–228, 2013. ACM\n tex.crossref: conf/doceng/2013\n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{conf/doceng/SanchezMGSDDVD13,\n\ttitle = {{TranScriptorium}: a {European} {Project} on {Handwritten} {Text} {Recognition}.},\n\tbooktitle = {{ACM} {Symposium} on {Document} {Engineering} {DOCENG}},\n\tpublisher = {ACM},\n\tauthor = {Sánchez, J.A. and Mühlberger, G. and Gatos, B. and Schofield, P. and Depuydt, K. and Davis, R.M. and Vidal, E. and de Does, J.},\n\teditor = {Marinai, Simone and Marriott, Kim},\n\tyear = {2013},\n\tnote = {tex.crossref: conf/doceng/2013},\n\tpages = {227--228},\n}\n\n
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\n \n\n \n \n \n \n \n \n Transforming scholarship in the archives through handwritten text recognition: Transkribus as a case study.\n \n \n \n \n\n\n \n Muehlberger, G.; Seaward, L.; Terras, M.; Ares Oliveira, S.; Bosch, V.; Bryan, M.; Colutto, S.; Déjean, H.; Diem, M.; Fiel, S.; Gatos, B.; Greinoecker, A.; Grüning, T.; Hackl, G.; Haukkovaara, V.; Heyer, G.; Hirvonen, L.; Hodel, T.; Jokinen, M.; Kahle, P.; Kallio, M.; Kaplan, F.; Kleber, F.; Labahn, R.; Lang, E. M.; Laube, S.; Leifert, G.; Louloudis, G.; McNicholl, R.; Meunier, J.; Michael, J.; Mühlbauer, E.; Philipp, N.; Pratikakis, I.; Puigcerver Pérez, J.; Putz, H.; Retsinas, G.; Romero, V.; Sablatnig, R.; Sánchez, J. A.; Schofield, P.; Sfikas, G.; Sieber, C.; Stamatopoulos, N.; Strauß, T.; Terbul, T.; Toselli, A. H.; Ulreich, B.; Villegas, M.; Vidal, E.; Walcher, J.; Weidemann, M.; Wurster, H.; and Zagoris, K.\n\n\n \n\n\n\n Journal of Documentation, 75(5): 954–976. September 2019.\n \n\n\n\n
\n\n\n\n \n \n \"TransformingPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{muehlberger_transforming_2019,\n\ttitle = {Transforming scholarship in the archives through handwritten text recognition: {Transkribus} as a case study},\n\tvolume = {75},\n\tissn = {0022-0418},\n\tshorttitle = {Transforming scholarship in the archives through handwritten text recognition},\n\turl = {https://www.emerald.com/insight/content/doi/10.1108/JD-07-2018-0114/full/html},\n\tdoi = {10.1108/JD-07-2018-0114},\n\tabstract = {Purpose\n              \n                An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded\n                Transkribus\n                platform. It explains HTR, demonstrates\n                Transkribus\n                , gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues.\n              \n            \n            \n              Design/methodology/approach\n              This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material.\n            \n            \n              Findings\n              \n                Transkribus\n                has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified.\n              \n            \n            \n              Research limitations/implications\n              The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc.\n            \n            \n              Practical implications\n              \n                Only HTR provided via\n                Transkribus\n                is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field.\n              \n            \n            \n              Social implications\n              The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals.\n            \n            \n              Originality/value\n              This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.},\n\tlanguage = {en},\n\tnumber = {5},\n\turldate = {2020-01-02},\n\tjournal = {Journal of Documentation},\n\tauthor = {Muehlberger, Guenter and Seaward, Louise and Terras, Melissa and Ares Oliveira, Sofia and Bosch, Vicente and Bryan, Maximilian and Colutto, Sebastian and Déjean, Hervé and Diem, Markus and Fiel, Stefan and Gatos, Basilis and Greinoecker, Albert and Grüning, Tobias and Hackl, Guenter and Haukkovaara, Vili and Heyer, Gerhard and Hirvonen, Lauri and Hodel, Tobias and Jokinen, Matti and Kahle, Philip and Kallio, Mario and Kaplan, Frederic and Kleber, Florian and Labahn, Roger and Lang, Eva Maria and Laube, Sören and Leifert, Gundram and Louloudis, Georgios and McNicholl, Rory and Meunier, Jean-Luc and Michael, Johannes and Mühlbauer, Elena and Philipp, Nathanael and Pratikakis, Ioannis and Puigcerver Pérez, Joan and Putz, Hannelore and Retsinas, George and Romero, Verónica and Sablatnig, Robert and Sánchez, Joan Andreu and Schofield, Philip and Sfikas, Giorgos and Sieber, Christian and Stamatopoulos, Nikolaos and Strauß, Tobias and Terbul, Tamara and Toselli, Alejandro Héctor and Ulreich, Berthold and Villegas, Mauricio and Vidal, Enrique and Walcher, Johanna and Weidemann, Max and Wurster, Herbert and Zagoris, Konstantinos},\n\tmonth = sep,\n\tyear = {2019},\n\tpages = {954--976},\n}\n\n
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\n Purpose An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded Transkribus platform. It explains HTR, demonstrates Transkribus , gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues. Design/methodology/approach This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material. Findings Transkribus has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified. Research limitations/implications The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc. Practical implications Only HTR provided via Transkribus is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field. Social implications The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals. Originality/value This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.\n
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\n  \n Gotscharek, A.\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n PoCoTo - an Open Source System for Efficient Interactive Postcorrection of OCRed Historical Texts.\n \n \n \n \n\n\n \n Vobl, T.; Gotscharek, A.; Reffle, U.; Ringlstetter, C.; and Schulz, K. U.\n\n\n \n\n\n\n In Proceedings of the First International Conference on Digital Access to Textual Cultural Heritage, of DATeCH '14, pages 57–61, New York, NY, USA, 2014. ACM\n \n\n\n\n
\n\n\n\n \n \n \"PoCoToPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n\n\n\n
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@inproceedings{vobl_pocoto_2014,\n\taddress = {New York, NY, USA},\n\tseries = {{DATeCH} '14},\n\ttitle = {{PoCoTo} - an {Open} {Source} {System} for {Efficient} {Interactive} {Postcorrection} of {OCRed} {Historical} {Texts}},\n\tisbn = {978-1-4503-2588-2},\n\turl = {http://doi.acm.org/10.1145/2595188.2595197},\n\tdoi = {10.1145/2595188.2595197},\n\tabstract = {When applied to historical texts, OCR engines often produce a non-negligible number of OCR errors. For research in the Humanities, text mining and retrieval, the option is important to improve the quality of OCRed historical texts using interactive postcorrection. We describe a system for interactive postcorrection of OCRed historical documents developed in the EU project IMPACT. Various advanced features of the system help to efficiently correct texts. Language technology used in the background takes orthographic variation in historical language into account. Using this knowledge, the tool visualizes possible OCR errors and series of similar possible OCR errors in a given input document. Error series can be corrected in one shot. Practical user tests in three major European libraries have shown that the system considerably reduces the time needed by human correctors to eliminate a certain number of OCR errors. The system has been published as an open source tool under GitHub.},\n\tbooktitle = {Proceedings of the {First} {International} {Conference} on {Digital} {Access} to {Textual} {Cultural} {Heritage}},\n\tpublisher = {ACM},\n\tauthor = {Vobl, Thorsten and Gotscharek, Annette and Reffle, Uli and Ringlstetter, Christoph and Schulz, Klaus U.},\n\tyear = {2014},\n\tkeywords = {decision support, error correction, user interfaces},\n\tpages = {57--61},\n}\n\n
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\n When applied to historical texts, OCR engines often produce a non-negligible number of OCR errors. For research in the Humanities, text mining and retrieval, the option is important to improve the quality of OCRed historical texts using interactive postcorrection. We describe a system for interactive postcorrection of OCRed historical documents developed in the EU project IMPACT. Various advanced features of the system help to efficiently correct texts. Language technology used in the background takes orthographic variation in historical language into account. Using this knowledge, the tool visualizes possible OCR errors and series of similar possible OCR errors in a given input document. Error series can be corrected in one shot. Practical user tests in three major European libraries have shown that the system considerably reduces the time needed by human correctors to eliminate a certain number of OCR errors. The system has been published as an open source tool under GitHub.\n
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\n  \n Greinoecker, A.\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Transforming scholarship in the archives through handwritten text recognition: Transkribus as a case study.\n \n \n \n \n\n\n \n Muehlberger, G.; Seaward, L.; Terras, M.; Ares Oliveira, S.; Bosch, V.; Bryan, M.; Colutto, S.; Déjean, H.; Diem, M.; Fiel, S.; Gatos, B.; Greinoecker, A.; Grüning, T.; Hackl, G.; Haukkovaara, V.; Heyer, G.; Hirvonen, L.; Hodel, T.; Jokinen, M.; Kahle, P.; Kallio, M.; Kaplan, F.; Kleber, F.; Labahn, R.; Lang, E. M.; Laube, S.; Leifert, G.; Louloudis, G.; McNicholl, R.; Meunier, J.; Michael, J.; Mühlbauer, E.; Philipp, N.; Pratikakis, I.; Puigcerver Pérez, J.; Putz, H.; Retsinas, G.; Romero, V.; Sablatnig, R.; Sánchez, J. A.; Schofield, P.; Sfikas, G.; Sieber, C.; Stamatopoulos, N.; Strauß, T.; Terbul, T.; Toselli, A. H.; Ulreich, B.; Villegas, M.; Vidal, E.; Walcher, J.; Weidemann, M.; Wurster, H.; and Zagoris, K.\n\n\n \n\n\n\n Journal of Documentation, 75(5): 954–976. September 2019.\n \n\n\n\n
\n\n\n\n \n \n \"TransformingPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{muehlberger_transforming_2019,\n\ttitle = {Transforming scholarship in the archives through handwritten text recognition: {Transkribus} as a case study},\n\tvolume = {75},\n\tissn = {0022-0418},\n\tshorttitle = {Transforming scholarship in the archives through handwritten text recognition},\n\turl = {https://www.emerald.com/insight/content/doi/10.1108/JD-07-2018-0114/full/html},\n\tdoi = {10.1108/JD-07-2018-0114},\n\tabstract = {Purpose\n              \n                An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded\n                Transkribus\n                platform. It explains HTR, demonstrates\n                Transkribus\n                , gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues.\n              \n            \n            \n              Design/methodology/approach\n              This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material.\n            \n            \n              Findings\n              \n                Transkribus\n                has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified.\n              \n            \n            \n              Research limitations/implications\n              The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc.\n            \n            \n              Practical implications\n              \n                Only HTR provided via\n                Transkribus\n                is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field.\n              \n            \n            \n              Social implications\n              The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals.\n            \n            \n              Originality/value\n              This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.},\n\tlanguage = {en},\n\tnumber = {5},\n\turldate = {2020-01-02},\n\tjournal = {Journal of Documentation},\n\tauthor = {Muehlberger, Guenter and Seaward, Louise and Terras, Melissa and Ares Oliveira, Sofia and Bosch, Vicente and Bryan, Maximilian and Colutto, Sebastian and Déjean, Hervé and Diem, Markus and Fiel, Stefan and Gatos, Basilis and Greinoecker, Albert and Grüning, Tobias and Hackl, Guenter and Haukkovaara, Vili and Heyer, Gerhard and Hirvonen, Lauri and Hodel, Tobias and Jokinen, Matti and Kahle, Philip and Kallio, Mario and Kaplan, Frederic and Kleber, Florian and Labahn, Roger and Lang, Eva Maria and Laube, Sören and Leifert, Gundram and Louloudis, Georgios and McNicholl, Rory and Meunier, Jean-Luc and Michael, Johannes and Mühlbauer, Elena and Philipp, Nathanael and Pratikakis, Ioannis and Puigcerver Pérez, Joan and Putz, Hannelore and Retsinas, George and Romero, Verónica and Sablatnig, Robert and Sánchez, Joan Andreu and Schofield, Philip and Sfikas, Giorgos and Sieber, Christian and Stamatopoulos, Nikolaos and Strauß, Tobias and Terbul, Tamara and Toselli, Alejandro Héctor and Ulreich, Berthold and Villegas, Mauricio and Vidal, Enrique and Walcher, Johanna and Weidemann, Max and Wurster, Herbert and Zagoris, Konstantinos},\n\tmonth = sep,\n\tyear = {2019},\n\tpages = {954--976},\n}\n\n
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\n Purpose An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded Transkribus platform. It explains HTR, demonstrates Transkribus , gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues. Design/methodology/approach This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material. Findings Transkribus has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified. Research limitations/implications The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc. Practical implications Only HTR provided via Transkribus is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field. Social implications The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals. Originality/value This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.\n
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\n  \n Grüning, T.\n \n \n (2)\n \n \n
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\n \n\n \n \n \n \n \n \n Evaluating Sequence-to-Sequence Models for Handwritten Text Recognition.\n \n \n \n \n\n\n \n Michael, J.; Labahn, R.; Grüning, T.; and Zöllner, J.\n\n\n \n\n\n\n arXiv:1903.07377 [cs]. July 2019.\n arXiv: 1903.07377\n\n\n\n
\n\n\n\n \n \n \"EvaluatingPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
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@article{michael_evaluating_2019,\n\ttitle = {Evaluating {Sequence}-to-{Sequence} {Models} for {Handwritten} {Text} {Recognition}},\n\turl = {http://arxiv.org/abs/1903.07377},\n\tabstract = {Encoder-decoder models have become an effective approach for sequence learning tasks like machine translation, image captioning and speech recognition, but have yet to show competitive results for handwritten text recognition. To this end, we propose an attention-based sequence-to-sequence model. It combines a convolutional neural network as a generic feature extractor with a recurrent neural network to encode both the visual information, as well as the temporal context between characters in the input image, and uses a separate recurrent neural network to decode the actual character sequence. We make experimental comparisons between various attention mechanisms and positional encodings, in order to find an appropriate alignment between the input and output sequence. The model can be trained end-to-end and the optional integration of a hybrid loss allows the encoder to retain an interpretable and usable output, if desired. We achieve competitive results on the IAM and ICFHR2016 READ data sets compared to the state-of-the-art without the use of a language model, and we significantly improve over any recent sequence-to-sequence approaches.},\n\turldate = {2022-01-07},\n\tjournal = {arXiv:1903.07377 [cs]},\n\tauthor = {Michael, Johannes and Labahn, Roger and Grüning, Tobias and Zöllner, Jochen},\n\tmonth = jul,\n\tyear = {2019},\n\tnote = {arXiv: 1903.07377},\n\tkeywords = {Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning},\n}\n\n
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\n Encoder-decoder models have become an effective approach for sequence learning tasks like machine translation, image captioning and speech recognition, but have yet to show competitive results for handwritten text recognition. To this end, we propose an attention-based sequence-to-sequence model. It combines a convolutional neural network as a generic feature extractor with a recurrent neural network to encode both the visual information, as well as the temporal context between characters in the input image, and uses a separate recurrent neural network to decode the actual character sequence. We make experimental comparisons between various attention mechanisms and positional encodings, in order to find an appropriate alignment between the input and output sequence. The model can be trained end-to-end and the optional integration of a hybrid loss allows the encoder to retain an interpretable and usable output, if desired. We achieve competitive results on the IAM and ICFHR2016 READ data sets compared to the state-of-the-art without the use of a language model, and we significantly improve over any recent sequence-to-sequence approaches.\n
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\n \n\n \n \n \n \n \n \n Transforming scholarship in the archives through handwritten text recognition: Transkribus as a case study.\n \n \n \n \n\n\n \n Muehlberger, G.; Seaward, L.; Terras, M.; Ares Oliveira, S.; Bosch, V.; Bryan, M.; Colutto, S.; Déjean, H.; Diem, M.; Fiel, S.; Gatos, B.; Greinoecker, A.; Grüning, T.; Hackl, G.; Haukkovaara, V.; Heyer, G.; Hirvonen, L.; Hodel, T.; Jokinen, M.; Kahle, P.; Kallio, M.; Kaplan, F.; Kleber, F.; Labahn, R.; Lang, E. M.; Laube, S.; Leifert, G.; Louloudis, G.; McNicholl, R.; Meunier, J.; Michael, J.; Mühlbauer, E.; Philipp, N.; Pratikakis, I.; Puigcerver Pérez, J.; Putz, H.; Retsinas, G.; Romero, V.; Sablatnig, R.; Sánchez, J. A.; Schofield, P.; Sfikas, G.; Sieber, C.; Stamatopoulos, N.; Strauß, T.; Terbul, T.; Toselli, A. H.; Ulreich, B.; Villegas, M.; Vidal, E.; Walcher, J.; Weidemann, M.; Wurster, H.; and Zagoris, K.\n\n\n \n\n\n\n Journal of Documentation, 75(5): 954–976. September 2019.\n \n\n\n\n
\n\n\n\n \n \n \"TransformingPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{muehlberger_transforming_2019,\n\ttitle = {Transforming scholarship in the archives through handwritten text recognition: {Transkribus} as a case study},\n\tvolume = {75},\n\tissn = {0022-0418},\n\tshorttitle = {Transforming scholarship in the archives through handwritten text recognition},\n\turl = {https://www.emerald.com/insight/content/doi/10.1108/JD-07-2018-0114/full/html},\n\tdoi = {10.1108/JD-07-2018-0114},\n\tabstract = {Purpose\n              \n                An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded\n                Transkribus\n                platform. It explains HTR, demonstrates\n                Transkribus\n                , gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues.\n              \n            \n            \n              Design/methodology/approach\n              This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material.\n            \n            \n              Findings\n              \n                Transkribus\n                has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified.\n              \n            \n            \n              Research limitations/implications\n              The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc.\n            \n            \n              Practical implications\n              \n                Only HTR provided via\n                Transkribus\n                is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field.\n              \n            \n            \n              Social implications\n              The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals.\n            \n            \n              Originality/value\n              This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.},\n\tlanguage = {en},\n\tnumber = {5},\n\turldate = {2020-01-02},\n\tjournal = {Journal of Documentation},\n\tauthor = {Muehlberger, Guenter and Seaward, Louise and Terras, Melissa and Ares Oliveira, Sofia and Bosch, Vicente and Bryan, Maximilian and Colutto, Sebastian and Déjean, Hervé and Diem, Markus and Fiel, Stefan and Gatos, Basilis and Greinoecker, Albert and Grüning, Tobias and Hackl, Guenter and Haukkovaara, Vili and Heyer, Gerhard and Hirvonen, Lauri and Hodel, Tobias and Jokinen, Matti and Kahle, Philip and Kallio, Mario and Kaplan, Frederic and Kleber, Florian and Labahn, Roger and Lang, Eva Maria and Laube, Sören and Leifert, Gundram and Louloudis, Georgios and McNicholl, Rory and Meunier, Jean-Luc and Michael, Johannes and Mühlbauer, Elena and Philipp, Nathanael and Pratikakis, Ioannis and Puigcerver Pérez, Joan and Putz, Hannelore and Retsinas, George and Romero, Verónica and Sablatnig, Robert and Sánchez, Joan Andreu and Schofield, Philip and Sfikas, Giorgos and Sieber, Christian and Stamatopoulos, Nikolaos and Strauß, Tobias and Terbul, Tamara and Toselli, Alejandro Héctor and Ulreich, Berthold and Villegas, Mauricio and Vidal, Enrique and Walcher, Johanna and Weidemann, Max and Wurster, Herbert and Zagoris, Konstantinos},\n\tmonth = sep,\n\tyear = {2019},\n\tpages = {954--976},\n}\n\n
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\n Purpose An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded Transkribus platform. It explains HTR, demonstrates Transkribus , gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues. Design/methodology/approach This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material. Findings Transkribus has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified. Research limitations/implications The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc. Practical implications Only HTR provided via Transkribus is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field. Social implications The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals. Originality/value This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.\n
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\n  \n Guldi, J.\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Paper Machines: A Text Analysis Visualization Toolkit.\n \n \n \n \n\n\n \n Guldi, J.\n\n\n \n\n\n\n LASA Forum, 44(1). 2013.\n \n\n\n\n
\n\n\n\n \n \n \"PaperPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{guldi_paper_2013,\n\ttitle = {Paper {Machines}: {A} {Text} {Analysis} {Visualization} {Toolkit}},\n\tvolume = {44},\n\turl = {https://forum.lasaweb.org/past-issues/vol44-issue1.php},\n\tabstract = {The Latin American Studies Association's quarterly newsletter. In addition to timely, research-based articles, the newsletter provides information about LASA activities, including how to propose panels and papers for the LASA congress, and serves as an important source of information on employment, grant opportunities and conferences of interest.},\n\tlanguage = {en},\n\tnumber = {1},\n\turldate = {2020-01-02},\n\tjournal = {LASA Forum},\n\tauthor = {Guldi, Jo},\n\tyear = {2013},\n}\n\n
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\n The Latin American Studies Association's quarterly newsletter. In addition to timely, research-based articles, the newsletter provides information about LASA activities, including how to propose panels and papers for the LASA congress, and serves as an important source of information on employment, grant opportunities and conferences of interest.\n
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\n  \n Hackl, G.\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Transforming scholarship in the archives through handwritten text recognition: Transkribus as a case study.\n \n \n \n \n\n\n \n Muehlberger, G.; Seaward, L.; Terras, M.; Ares Oliveira, S.; Bosch, V.; Bryan, M.; Colutto, S.; Déjean, H.; Diem, M.; Fiel, S.; Gatos, B.; Greinoecker, A.; Grüning, T.; Hackl, G.; Haukkovaara, V.; Heyer, G.; Hirvonen, L.; Hodel, T.; Jokinen, M.; Kahle, P.; Kallio, M.; Kaplan, F.; Kleber, F.; Labahn, R.; Lang, E. M.; Laube, S.; Leifert, G.; Louloudis, G.; McNicholl, R.; Meunier, J.; Michael, J.; Mühlbauer, E.; Philipp, N.; Pratikakis, I.; Puigcerver Pérez, J.; Putz, H.; Retsinas, G.; Romero, V.; Sablatnig, R.; Sánchez, J. A.; Schofield, P.; Sfikas, G.; Sieber, C.; Stamatopoulos, N.; Strauß, T.; Terbul, T.; Toselli, A. H.; Ulreich, B.; Villegas, M.; Vidal, E.; Walcher, J.; Weidemann, M.; Wurster, H.; and Zagoris, K.\n\n\n \n\n\n\n Journal of Documentation, 75(5): 954–976. September 2019.\n \n\n\n\n
\n\n\n\n \n \n \"TransformingPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@article{muehlberger_transforming_2019,\n\ttitle = {Transforming scholarship in the archives through handwritten text recognition: {Transkribus} as a case study},\n\tvolume = {75},\n\tissn = {0022-0418},\n\tshorttitle = {Transforming scholarship in the archives through handwritten text recognition},\n\turl = {https://www.emerald.com/insight/content/doi/10.1108/JD-07-2018-0114/full/html},\n\tdoi = {10.1108/JD-07-2018-0114},\n\tabstract = {Purpose\n              \n                An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded\n                Transkribus\n                platform. It explains HTR, demonstrates\n                Transkribus\n                , gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues.\n              \n            \n            \n              Design/methodology/approach\n              This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material.\n            \n            \n              Findings\n              \n                Transkribus\n                has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified.\n              \n            \n            \n              Research limitations/implications\n              The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc.\n            \n            \n              Practical implications\n              \n                Only HTR provided via\n                Transkribus\n                is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field.\n              \n            \n            \n              Social implications\n              The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals.\n            \n            \n              Originality/value\n              This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.},\n\tlanguage = {en},\n\tnumber = {5},\n\turldate = {2020-01-02},\n\tjournal = {Journal of Documentation},\n\tauthor = {Muehlberger, Guenter and Seaward, Louise and Terras, Melissa and Ares Oliveira, Sofia and Bosch, Vicente and Bryan, Maximilian and Colutto, Sebastian and Déjean, Hervé and Diem, Markus and Fiel, Stefan and Gatos, Basilis and Greinoecker, Albert and Grüning, Tobias and Hackl, Guenter and Haukkovaara, Vili and Heyer, Gerhard and Hirvonen, Lauri and Hodel, Tobias and Jokinen, Matti and Kahle, Philip and Kallio, Mario and Kaplan, Frederic and Kleber, Florian and Labahn, Roger and Lang, Eva Maria and Laube, Sören and Leifert, Gundram and Louloudis, Georgios and McNicholl, Rory and Meunier, Jean-Luc and Michael, Johannes and Mühlbauer, Elena and Philipp, Nathanael and Pratikakis, Ioannis and Puigcerver Pérez, Joan and Putz, Hannelore and Retsinas, George and Romero, Verónica and Sablatnig, Robert and Sánchez, Joan Andreu and Schofield, Philip and Sfikas, Giorgos and Sieber, Christian and Stamatopoulos, Nikolaos and Strauß, Tobias and Terbul, Tamara and Toselli, Alejandro Héctor and Ulreich, Berthold and Villegas, Mauricio and Vidal, Enrique and Walcher, Johanna and Weidemann, Max and Wurster, Herbert and Zagoris, Konstantinos},\n\tmonth = sep,\n\tyear = {2019},\n\tpages = {954--976},\n}\n\n
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\n Purpose An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded Transkribus platform. It explains HTR, demonstrates Transkribus , gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues. Design/methodology/approach This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material. Findings Transkribus has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified. Research limitations/implications The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc. Practical implications Only HTR provided via Transkribus is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field. Social implications The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals. Originality/value This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.\n
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\n  \n Haukkovaara, V.\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Transforming scholarship in the archives through handwritten text recognition: Transkribus as a case study.\n \n \n \n \n\n\n \n Muehlberger, G.; Seaward, L.; Terras, M.; Ares Oliveira, S.; Bosch, V.; Bryan, M.; Colutto, S.; Déjean, H.; Diem, M.; Fiel, S.; Gatos, B.; Greinoecker, A.; Grüning, T.; Hackl, G.; Haukkovaara, V.; Heyer, G.; Hirvonen, L.; Hodel, T.; Jokinen, M.; Kahle, P.; Kallio, M.; Kaplan, F.; Kleber, F.; Labahn, R.; Lang, E. M.; Laube, S.; Leifert, G.; Louloudis, G.; McNicholl, R.; Meunier, J.; Michael, J.; Mühlbauer, E.; Philipp, N.; Pratikakis, I.; Puigcerver Pérez, J.; Putz, H.; Retsinas, G.; Romero, V.; Sablatnig, R.; Sánchez, J. A.; Schofield, P.; Sfikas, G.; Sieber, C.; Stamatopoulos, N.; Strauß, T.; Terbul, T.; Toselli, A. H.; Ulreich, B.; Villegas, M.; Vidal, E.; Walcher, J.; Weidemann, M.; Wurster, H.; and Zagoris, K.\n\n\n \n\n\n\n Journal of Documentation, 75(5): 954–976. September 2019.\n \n\n\n\n
\n\n\n\n \n \n \"TransformingPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{muehlberger_transforming_2019,\n\ttitle = {Transforming scholarship in the archives through handwritten text recognition: {Transkribus} as a case study},\n\tvolume = {75},\n\tissn = {0022-0418},\n\tshorttitle = {Transforming scholarship in the archives through handwritten text recognition},\n\turl = {https://www.emerald.com/insight/content/doi/10.1108/JD-07-2018-0114/full/html},\n\tdoi = {10.1108/JD-07-2018-0114},\n\tabstract = {Purpose\n              \n                An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded\n                Transkribus\n                platform. It explains HTR, demonstrates\n                Transkribus\n                , gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues.\n              \n            \n            \n              Design/methodology/approach\n              This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material.\n            \n            \n              Findings\n              \n                Transkribus\n                has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified.\n              \n            \n            \n              Research limitations/implications\n              The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc.\n            \n            \n              Practical implications\n              \n                Only HTR provided via\n                Transkribus\n                is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field.\n              \n            \n            \n              Social implications\n              The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals.\n            \n            \n              Originality/value\n              This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.},\n\tlanguage = {en},\n\tnumber = {5},\n\turldate = {2020-01-02},\n\tjournal = {Journal of Documentation},\n\tauthor = {Muehlberger, Guenter and Seaward, Louise and Terras, Melissa and Ares Oliveira, Sofia and Bosch, Vicente and Bryan, Maximilian and Colutto, Sebastian and Déjean, Hervé and Diem, Markus and Fiel, Stefan and Gatos, Basilis and Greinoecker, Albert and Grüning, Tobias and Hackl, Guenter and Haukkovaara, Vili and Heyer, Gerhard and Hirvonen, Lauri and Hodel, Tobias and Jokinen, Matti and Kahle, Philip and Kallio, Mario and Kaplan, Frederic and Kleber, Florian and Labahn, Roger and Lang, Eva Maria and Laube, Sören and Leifert, Gundram and Louloudis, Georgios and McNicholl, Rory and Meunier, Jean-Luc and Michael, Johannes and Mühlbauer, Elena and Philipp, Nathanael and Pratikakis, Ioannis and Puigcerver Pérez, Joan and Putz, Hannelore and Retsinas, George and Romero, Verónica and Sablatnig, Robert and Sánchez, Joan Andreu and Schofield, Philip and Sfikas, Giorgos and Sieber, Christian and Stamatopoulos, Nikolaos and Strauß, Tobias and Terbul, Tamara and Toselli, Alejandro Héctor and Ulreich, Berthold and Villegas, Mauricio and Vidal, Enrique and Walcher, Johanna and Weidemann, Max and Wurster, Herbert and Zagoris, Konstantinos},\n\tmonth = sep,\n\tyear = {2019},\n\tpages = {954--976},\n}\n\n
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\n Purpose An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded Transkribus platform. It explains HTR, demonstrates Transkribus , gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues. Design/methodology/approach This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material. Findings Transkribus has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified. Research limitations/implications The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc. Practical implications Only HTR provided via Transkribus is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field. Social implications The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals. Originality/value This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.\n
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\n  \n Hazley, M.\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Improving learning of computational thinking using creative thinking exercises in CS-1 computer science courses.\n \n \n \n \n\n\n \n Miller, L. D.; Soh, L.; Chiriacescu, V.; Ingraham, E.; Shell, D. F.; Ramsay, S.; and Hazley, M. P.\n\n\n \n\n\n\n In 2013 IEEE Frontiers in Education Conference (FIE), pages 1426–1432, Oklahoma City, OK, USA, October 2013. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"ImprovingPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{miller_improving_2013,\n\taddress = {Oklahoma City, OK, USA},\n\ttitle = {Improving learning of computational thinking using creative thinking exercises in {CS}-1 computer science courses},\n\tisbn = {978-1-4673-5261-1},\n\turl = {http://ieeexplore.ieee.org/document/6685067/},\n\tdoi = {10.1109/FIE.2013.6685067},\n\turldate = {2020-01-14},\n\tbooktitle = {2013 {IEEE} {Frontiers} in {Education} {Conference} ({FIE})},\n\tpublisher = {IEEE},\n\tauthor = {Miller, L. Dee and Soh, Leen-Kiat and Chiriacescu, Vlad and Ingraham, Elizabeth and Shell, Duane F. and Ramsay, Stephen and Hazley, Melissa Patterson},\n\tmonth = oct,\n\tyear = {2013},\n\tpages = {1426--1432},\n}\n\n
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\n  \n He, S.\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n A Multiple-Label Guided Clustering Algorithm for Historical Document Dating and Localization.\n \n \n \n\n\n \n He, S.; Samara, P.; Burgers, J.; and Schomaker, L.\n\n\n \n\n\n\n IEEE Trans. Image Processing, 25(11): 5252–5265. 2016.\n \n\n\n\n
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@article{he_multiple-label_2016,\n\ttitle = {A {Multiple}-{Label} {Guided} {Clustering} {Algorithm} for {Historical} {Document} {Dating} and {Localization}},\n\tvolume = {25},\n\tdoi = {10.1109/TIP.2016.2602078},\n\tnumber = {11},\n\tjournal = {IEEE Trans. Image Processing},\n\tauthor = {He, Sheng and Samara, Petros and Burgers, Jan and Schomaker, Lambert},\n\tyear = {2016},\n\tpages = {5252--5265},\n}\n\n
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\n  \n Heyer, G.\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Transforming scholarship in the archives through handwritten text recognition: Transkribus as a case study.\n \n \n \n \n\n\n \n Muehlberger, G.; Seaward, L.; Terras, M.; Ares Oliveira, S.; Bosch, V.; Bryan, M.; Colutto, S.; Déjean, H.; Diem, M.; Fiel, S.; Gatos, B.; Greinoecker, A.; Grüning, T.; Hackl, G.; Haukkovaara, V.; Heyer, G.; Hirvonen, L.; Hodel, T.; Jokinen, M.; Kahle, P.; Kallio, M.; Kaplan, F.; Kleber, F.; Labahn, R.; Lang, E. M.; Laube, S.; Leifert, G.; Louloudis, G.; McNicholl, R.; Meunier, J.; Michael, J.; Mühlbauer, E.; Philipp, N.; Pratikakis, I.; Puigcerver Pérez, J.; Putz, H.; Retsinas, G.; Romero, V.; Sablatnig, R.; Sánchez, J. A.; Schofield, P.; Sfikas, G.; Sieber, C.; Stamatopoulos, N.; Strauß, T.; Terbul, T.; Toselli, A. H.; Ulreich, B.; Villegas, M.; Vidal, E.; Walcher, J.; Weidemann, M.; Wurster, H.; and Zagoris, K.\n\n\n \n\n\n\n Journal of Documentation, 75(5): 954–976. September 2019.\n \n\n\n\n
\n\n\n\n \n \n \"TransformingPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{muehlberger_transforming_2019,\n\ttitle = {Transforming scholarship in the archives through handwritten text recognition: {Transkribus} as a case study},\n\tvolume = {75},\n\tissn = {0022-0418},\n\tshorttitle = {Transforming scholarship in the archives through handwritten text recognition},\n\turl = {https://www.emerald.com/insight/content/doi/10.1108/JD-07-2018-0114/full/html},\n\tdoi = {10.1108/JD-07-2018-0114},\n\tabstract = {Purpose\n              \n                An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded\n                Transkribus\n                platform. It explains HTR, demonstrates\n                Transkribus\n                , gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues.\n              \n            \n            \n              Design/methodology/approach\n              This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material.\n            \n            \n              Findings\n              \n                Transkribus\n                has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified.\n              \n            \n            \n              Research limitations/implications\n              The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc.\n            \n            \n              Practical implications\n              \n                Only HTR provided via\n                Transkribus\n                is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field.\n              \n            \n            \n              Social implications\n              The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals.\n            \n            \n              Originality/value\n              This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.},\n\tlanguage = {en},\n\tnumber = {5},\n\turldate = {2020-01-02},\n\tjournal = {Journal of Documentation},\n\tauthor = {Muehlberger, Guenter and Seaward, Louise and Terras, Melissa and Ares Oliveira, Sofia and Bosch, Vicente and Bryan, Maximilian and Colutto, Sebastian and Déjean, Hervé and Diem, Markus and Fiel, Stefan and Gatos, Basilis and Greinoecker, Albert and Grüning, Tobias and Hackl, Guenter and Haukkovaara, Vili and Heyer, Gerhard and Hirvonen, Lauri and Hodel, Tobias and Jokinen, Matti and Kahle, Philip and Kallio, Mario and Kaplan, Frederic and Kleber, Florian and Labahn, Roger and Lang, Eva Maria and Laube, Sören and Leifert, Gundram and Louloudis, Georgios and McNicholl, Rory and Meunier, Jean-Luc and Michael, Johannes and Mühlbauer, Elena and Philipp, Nathanael and Pratikakis, Ioannis and Puigcerver Pérez, Joan and Putz, Hannelore and Retsinas, George and Romero, Verónica and Sablatnig, Robert and Sánchez, Joan Andreu and Schofield, Philip and Sfikas, Giorgos and Sieber, Christian and Stamatopoulos, Nikolaos and Strauß, Tobias and Terbul, Tamara and Toselli, Alejandro Héctor and Ulreich, Berthold and Villegas, Mauricio and Vidal, Enrique and Walcher, Johanna and Weidemann, Max and Wurster, Herbert and Zagoris, Konstantinos},\n\tmonth = sep,\n\tyear = {2019},\n\tpages = {954--976},\n}\n\n
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\n Purpose An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded Transkribus platform. It explains HTR, demonstrates Transkribus , gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues. Design/methodology/approach This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material. Findings Transkribus has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified. Research limitations/implications The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc. Practical implications Only HTR provided via Transkribus is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field. Social implications The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals. Originality/value This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.\n
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\n  \n Hirvonen, L.\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Transforming scholarship in the archives through handwritten text recognition: Transkribus as a case study.\n \n \n \n \n\n\n \n Muehlberger, G.; Seaward, L.; Terras, M.; Ares Oliveira, S.; Bosch, V.; Bryan, M.; Colutto, S.; Déjean, H.; Diem, M.; Fiel, S.; Gatos, B.; Greinoecker, A.; Grüning, T.; Hackl, G.; Haukkovaara, V.; Heyer, G.; Hirvonen, L.; Hodel, T.; Jokinen, M.; Kahle, P.; Kallio, M.; Kaplan, F.; Kleber, F.; Labahn, R.; Lang, E. M.; Laube, S.; Leifert, G.; Louloudis, G.; McNicholl, R.; Meunier, J.; Michael, J.; Mühlbauer, E.; Philipp, N.; Pratikakis, I.; Puigcerver Pérez, J.; Putz, H.; Retsinas, G.; Romero, V.; Sablatnig, R.; Sánchez, J. A.; Schofield, P.; Sfikas, G.; Sieber, C.; Stamatopoulos, N.; Strauß, T.; Terbul, T.; Toselli, A. H.; Ulreich, B.; Villegas, M.; Vidal, E.; Walcher, J.; Weidemann, M.; Wurster, H.; and Zagoris, K.\n\n\n \n\n\n\n Journal of Documentation, 75(5): 954–976. September 2019.\n \n\n\n\n
\n\n\n\n \n \n \"TransformingPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{muehlberger_transforming_2019,\n\ttitle = {Transforming scholarship in the archives through handwritten text recognition: {Transkribus} as a case study},\n\tvolume = {75},\n\tissn = {0022-0418},\n\tshorttitle = {Transforming scholarship in the archives through handwritten text recognition},\n\turl = {https://www.emerald.com/insight/content/doi/10.1108/JD-07-2018-0114/full/html},\n\tdoi = {10.1108/JD-07-2018-0114},\n\tabstract = {Purpose\n              \n                An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded\n                Transkribus\n                platform. It explains HTR, demonstrates\n                Transkribus\n                , gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues.\n              \n            \n            \n              Design/methodology/approach\n              This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material.\n            \n            \n              Findings\n              \n                Transkribus\n                has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified.\n              \n            \n            \n              Research limitations/implications\n              The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc.\n            \n            \n              Practical implications\n              \n                Only HTR provided via\n                Transkribus\n                is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field.\n              \n            \n            \n              Social implications\n              The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals.\n            \n            \n              Originality/value\n              This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.},\n\tlanguage = {en},\n\tnumber = {5},\n\turldate = {2020-01-02},\n\tjournal = {Journal of Documentation},\n\tauthor = {Muehlberger, Guenter and Seaward, Louise and Terras, Melissa and Ares Oliveira, Sofia and Bosch, Vicente and Bryan, Maximilian and Colutto, Sebastian and Déjean, Hervé and Diem, Markus and Fiel, Stefan and Gatos, Basilis and Greinoecker, Albert and Grüning, Tobias and Hackl, Guenter and Haukkovaara, Vili and Heyer, Gerhard and Hirvonen, Lauri and Hodel, Tobias and Jokinen, Matti and Kahle, Philip and Kallio, Mario and Kaplan, Frederic and Kleber, Florian and Labahn, Roger and Lang, Eva Maria and Laube, Sören and Leifert, Gundram and Louloudis, Georgios and McNicholl, Rory and Meunier, Jean-Luc and Michael, Johannes and Mühlbauer, Elena and Philipp, Nathanael and Pratikakis, Ioannis and Puigcerver Pérez, Joan and Putz, Hannelore and Retsinas, George and Romero, Verónica and Sablatnig, Robert and Sánchez, Joan Andreu and Schofield, Philip and Sfikas, Giorgos and Sieber, Christian and Stamatopoulos, Nikolaos and Strauß, Tobias and Terbul, Tamara and Toselli, Alejandro Héctor and Ulreich, Berthold and Villegas, Mauricio and Vidal, Enrique and Walcher, Johanna and Weidemann, Max and Wurster, Herbert and Zagoris, Konstantinos},\n\tmonth = sep,\n\tyear = {2019},\n\tpages = {954--976},\n}\n\n
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\n Purpose An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded Transkribus platform. It explains HTR, demonstrates Transkribus , gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues. Design/methodology/approach This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material. Findings Transkribus has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified. Research limitations/implications The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc. Practical implications Only HTR provided via Transkribus is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field. Social implications The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals. Originality/value This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.\n
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\n  \n Hodel, T.\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Transforming scholarship in the archives through handwritten text recognition: Transkribus as a case study.\n \n \n \n \n\n\n \n Muehlberger, G.; Seaward, L.; Terras, M.; Ares Oliveira, S.; Bosch, V.; Bryan, M.; Colutto, S.; Déjean, H.; Diem, M.; Fiel, S.; Gatos, B.; Greinoecker, A.; Grüning, T.; Hackl, G.; Haukkovaara, V.; Heyer, G.; Hirvonen, L.; Hodel, T.; Jokinen, M.; Kahle, P.; Kallio, M.; Kaplan, F.; Kleber, F.; Labahn, R.; Lang, E. M.; Laube, S.; Leifert, G.; Louloudis, G.; McNicholl, R.; Meunier, J.; Michael, J.; Mühlbauer, E.; Philipp, N.; Pratikakis, I.; Puigcerver Pérez, J.; Putz, H.; Retsinas, G.; Romero, V.; Sablatnig, R.; Sánchez, J. A.; Schofield, P.; Sfikas, G.; Sieber, C.; Stamatopoulos, N.; Strauß, T.; Terbul, T.; Toselli, A. H.; Ulreich, B.; Villegas, M.; Vidal, E.; Walcher, J.; Weidemann, M.; Wurster, H.; and Zagoris, K.\n\n\n \n\n\n\n Journal of Documentation, 75(5): 954–976. September 2019.\n \n\n\n\n
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@article{muehlberger_transforming_2019,\n\ttitle = {Transforming scholarship in the archives through handwritten text recognition: {Transkribus} as a case study},\n\tvolume = {75},\n\tissn = {0022-0418},\n\tshorttitle = {Transforming scholarship in the archives through handwritten text recognition},\n\turl = {https://www.emerald.com/insight/content/doi/10.1108/JD-07-2018-0114/full/html},\n\tdoi = {10.1108/JD-07-2018-0114},\n\tabstract = {Purpose\n              \n                An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded\n                Transkribus\n                platform. It explains HTR, demonstrates\n                Transkribus\n                , gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues.\n              \n            \n            \n              Design/methodology/approach\n              This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material.\n            \n            \n              Findings\n              \n                Transkribus\n                has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified.\n              \n            \n            \n              Research limitations/implications\n              The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc.\n            \n            \n              Practical implications\n              \n                Only HTR provided via\n                Transkribus\n                is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field.\n              \n            \n            \n              Social implications\n              The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals.\n            \n            \n              Originality/value\n              This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.},\n\tlanguage = {en},\n\tnumber = {5},\n\turldate = {2020-01-02},\n\tjournal = {Journal of Documentation},\n\tauthor = {Muehlberger, Guenter and Seaward, Louise and Terras, Melissa and Ares Oliveira, Sofia and Bosch, Vicente and Bryan, Maximilian and Colutto, Sebastian and Déjean, Hervé and Diem, Markus and Fiel, Stefan and Gatos, Basilis and Greinoecker, Albert and Grüning, Tobias and Hackl, Guenter and Haukkovaara, Vili and Heyer, Gerhard and Hirvonen, Lauri and Hodel, Tobias and Jokinen, Matti and Kahle, Philip and Kallio, Mario and Kaplan, Frederic and Kleber, Florian and Labahn, Roger and Lang, Eva Maria and Laube, Sören and Leifert, Gundram and Louloudis, Georgios and McNicholl, Rory and Meunier, Jean-Luc and Michael, Johannes and Mühlbauer, Elena and Philipp, Nathanael and Pratikakis, Ioannis and Puigcerver Pérez, Joan and Putz, Hannelore and Retsinas, George and Romero, Verónica and Sablatnig, Robert and Sánchez, Joan Andreu and Schofield, Philip and Sfikas, Giorgos and Sieber, Christian and Stamatopoulos, Nikolaos and Strauß, Tobias and Terbul, Tamara and Toselli, Alejandro Héctor and Ulreich, Berthold and Villegas, Mauricio and Vidal, Enrique and Walcher, Johanna and Weidemann, Max and Wurster, Herbert and Zagoris, Konstantinos},\n\tmonth = sep,\n\tyear = {2019},\n\tpages = {954--976},\n}\n\n
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\n Purpose An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded Transkribus platform. It explains HTR, demonstrates Transkribus , gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues. Design/methodology/approach This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material. Findings Transkribus has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified. Research limitations/implications The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc. Practical implications Only HTR provided via Transkribus is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field. Social implications The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals. Originality/value This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.\n
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\n  \n Hudson-Smith, A.\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n How open is OpenGLAM? Identifying barriers to commercial and non-commercial reuse of digitised art images.\n \n \n \n \n\n\n \n Valeonti, F.; Terras, M.; and Hudson-Smith, A.\n\n\n \n\n\n\n Journal of Documentation, ahead-of-print(ahead-of-print). October 2019.\n \n\n\n\n
\n\n\n\n \n \n \"HowPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{valeonti_how_2019,\n\ttitle = {How open is {OpenGLAM}? {Identifying} barriers to commercial and non-commercial reuse of digitised art images},\n\tvolume = {ahead-of-print},\n\tissn = {0022-0418},\n\tshorttitle = {How open is {OpenGLAM}?},\n\turl = {https://www.emerald.com/insight/content/doi/10.1108/JD-06-2019-0109/full/html},\n\tdoi = {10.1108/JD-06-2019-0109},\n\tabstract = {Purpose\n              In recent years, OpenGLAM and the broader open license movement have been gaining momentum in the cultural heritage sector. The purpose of this paper is to examine OpenGLAM from the perspective of end users, identifying barriers for commercial and non-commercial reuse of openly licensed art images.\n            \n            \n              Design/methodology/approach\n              Following a review of the literature, the authors scope out how end users can discover institutions participating in OpenGLAM, and use case studies to examine the process they must follow to find, obtain and reuse openly licensed images from three art museums.\n            \n            \n              Findings\n              Academic literature has so far focussed on examining the risks and benefits of participation from an institutional perspective, with little done to assess OpenGLAM from the end users’ standpoint. The authors reveal that end users have to overcome a series of barriers to find, obtain and reuse open images. The three main barriers relate to image quality, image tracking and the difficulty of distinguishing open images from those that are bound by copyright.\n            \n            \n              Research limitations/implications\n              This study focusses solely on the examination of art museums and galleries. Libraries, archives and also other types of OpenGLAM museums (e.g. archaeological) stretch beyond the scope of this paper.\n            \n            \n              Practical implications\n              The authors identify practical barriers of commercial and non-commercial reuse of open images, outlining areas of improvement for participant institutions.\n            \n            \n              Originality/value\n              The authors contribute to the understudied field of research examining OpenGLAM from the end users’ perspective, outlining recommendations for end users, as well as for museums and galleries.},\n\tlanguage = {en},\n\tnumber = {ahead-of-print},\n\turldate = {2020-01-02},\n\tjournal = {Journal of Documentation},\n\tauthor = {Valeonti, Foteini and Terras, Melissa and Hudson-Smith, Andrew},\n\tmonth = oct,\n\tyear = {2019},\n}\n\n
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\n Purpose In recent years, OpenGLAM and the broader open license movement have been gaining momentum in the cultural heritage sector. The purpose of this paper is to examine OpenGLAM from the perspective of end users, identifying barriers for commercial and non-commercial reuse of openly licensed art images. Design/methodology/approach Following a review of the literature, the authors scope out how end users can discover institutions participating in OpenGLAM, and use case studies to examine the process they must follow to find, obtain and reuse openly licensed images from three art museums. Findings Academic literature has so far focussed on examining the risks and benefits of participation from an institutional perspective, with little done to assess OpenGLAM from the end users’ standpoint. The authors reveal that end users have to overcome a series of barriers to find, obtain and reuse open images. The three main barriers relate to image quality, image tracking and the difficulty of distinguishing open images from those that are bound by copyright. Research limitations/implications This study focusses solely on the examination of art museums and galleries. Libraries, archives and also other types of OpenGLAM museums (e.g. archaeological) stretch beyond the scope of this paper. Practical implications The authors identify practical barriers of commercial and non-commercial reuse of open images, outlining areas of improvement for participant institutions. Originality/value The authors contribute to the understudied field of research examining OpenGLAM from the end users’ perspective, outlining recommendations for end users, as well as for museums and galleries.\n
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\n  \n Ingraham, E.\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Improving learning of computational thinking using creative thinking exercises in CS-1 computer science courses.\n \n \n \n \n\n\n \n Miller, L. D.; Soh, L.; Chiriacescu, V.; Ingraham, E.; Shell, D. F.; Ramsay, S.; and Hazley, M. P.\n\n\n \n\n\n\n In 2013 IEEE Frontiers in Education Conference (FIE), pages 1426–1432, Oklahoma City, OK, USA, October 2013. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"ImprovingPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{miller_improving_2013,\n\taddress = {Oklahoma City, OK, USA},\n\ttitle = {Improving learning of computational thinking using creative thinking exercises in {CS}-1 computer science courses},\n\tisbn = {978-1-4673-5261-1},\n\turl = {http://ieeexplore.ieee.org/document/6685067/},\n\tdoi = {10.1109/FIE.2013.6685067},\n\turldate = {2020-01-14},\n\tbooktitle = {2013 {IEEE} {Frontiers} in {Education} {Conference} ({FIE})},\n\tpublisher = {IEEE},\n\tauthor = {Miller, L. Dee and Soh, Leen-Kiat and Chiriacescu, Vlad and Ingraham, Elizabeth and Shell, Duane F. and Ramsay, Stephen and Hazley, Melissa Patterson},\n\tmonth = oct,\n\tyear = {2013},\n\tpages = {1426--1432},\n}\n\n
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\n  \n Jackson, C.\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n Using Social Network Analysis to Reveal Unseen Relationships in Medieval Scotland.\n \n \n \n\n\n \n Jackson, C.\n\n\n \n\n\n\n Digital Scholarship in the Humanities,fqv070. February 2016.\n \n\n\n\n
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@article{jackson_using_2016,\n\ttitle = {Using {Social} {Network} {Analysis} to {Reveal} {Unseen} {Relationships} in {Medieval} {Scotland}},\n\tdoi = {10.1093/llc/fqv070},\n\tjournal = {Digital Scholarship in the Humanities},\n\tauthor = {Jackson, Cornell},\n\tmonth = feb,\n\tyear = {2016},\n\tpages = {fqv070},\n}\n\n
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\n  \n Jain, A.\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n Hugo in Action.\n \n \n \n\n\n \n Jain, A.\n\n\n \n\n\n\n Manning, May 2022.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@book{jain_hugo_2022,\n\ttitle = {Hugo in {Action}},\n\tabstract = {Build and deploy a live website in just 30 minutes using Hugo. The Hugo engine lets you rapidly deliver static sites that are low maintenance, high performance, and feature rich. In Hugo in Action you will learn:     Building web pages with Hugo and Jamstack     Creating content using Markdown     Content management with Hugo     Designing new Hugo themes     Using the Go template language     Managing dependencies with Hugo modules     Accessing APIs with Jamstack     Adding a shopping cart using JavaScript     Content tagging with markup  Sometimes, simple is better. Static websites—sites with fixed content—are easier to create and maintain, and inherently more secure than dynamic pages. Hugo in Action is a hands-on guide to using the Hugo static site engine to render these websites in milliseconds. Working with a complete example website and source code samples, you’ll learn how to build and host a site that will wow users and stay stable without a third-party server. Full coverage of the Jamstack (Javascript, APIs, Markdown) shows how easy it is to add complex features to super-simple sites, including eCommerce shopping carts, dynamic forms, and multilingual options.  About the technology Because they load pre-built pages, static websites are simple, secure, and incredibly fast. With the Hugo static site generator you can build and render a website in seconds without the grind of hand coding the pages. Hugo takes a directory of content and templates and renders it as a full HTML and CSS website—perfect for blogs, documentation, and other sites that don’t require real-time updates.  About the book In Hugo in Action you’ll learn step-by-step how to build efficient, low-maintenance static web sites. You’ll use Hugo as a CMS and web development environment, create custom pages, and design your own Hugo themes. And you won’t stop there! Moving beyond the basics, you’ll incorporate the Jamstack model to add capabilities like eCommerce and your own APIs. The result: rich websites that are flexible and incredibly stable.  What's inside     Building web pages with Hugo and Jamstack     Using the Go template language     Managing dependencies with Hugo modules     Content tagging with markup About the reader For web developers with a basic knowledge of JavaScript.  About the author Atishay Jain is a Senior Computer Scientist at Adobe. He has developed web-based software used by millions of Adobe Creative Cloud customers. Table of Contents PART 1 STATIC HUGO WEBSITES: LOADING FAST, BUILDING TO LAST 1 The Jamstack and Hugo 2 Live in 30 minutes: You now have a website 3 Using markup for content 4 Content management with Hugo 5 Custom pages and customized content with the Go template language 6 Structuring web pages 7 Creating your own theme 8 Hugo Modules: Plugins for everybody PART 2 EXPANDING WITH THE JAMSTACK: DYNAMIC OUTSIDE, STATIC INSIDE 9 Accessing APIs to enhance functionality 10 The power of JavaScript 11 Breaking barriers with custom APIs and webhooks 12 Adding e-commerce capabilities using the Jamstack 13 Wrapping it up},\n\tlanguage = {English},\n\tpublisher = {Manning},\n\tauthor = {Jain, Atishay},\n\tmonth = may,\n\tyear = {2022},\n}\n\n
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\n Build and deploy a live website in just 30 minutes using Hugo. The Hugo engine lets you rapidly deliver static sites that are low maintenance, high performance, and feature rich. In Hugo in Action you will learn:     Building web pages with Hugo and Jamstack     Creating content using Markdown     Content management with Hugo     Designing new Hugo themes     Using the Go template language     Managing dependencies with Hugo modules     Accessing APIs with Jamstack     Adding a shopping cart using JavaScript     Content tagging with markup Sometimes, simple is better. Static websites—sites with fixed content—are easier to create and maintain, and inherently more secure than dynamic pages. Hugo in Action is a hands-on guide to using the Hugo static site engine to render these websites in milliseconds. Working with a complete example website and source code samples, you’ll learn how to build and host a site that will wow users and stay stable without a third-party server. Full coverage of the Jamstack (Javascript, APIs, Markdown) shows how easy it is to add complex features to super-simple sites, including eCommerce shopping carts, dynamic forms, and multilingual options. About the technology Because they load pre-built pages, static websites are simple, secure, and incredibly fast. With the Hugo static site generator you can build and render a website in seconds without the grind of hand coding the pages. Hugo takes a directory of content and templates and renders it as a full HTML and CSS website—perfect for blogs, documentation, and other sites that don’t require real-time updates. About the book In Hugo in Action you’ll learn step-by-step how to build efficient, low-maintenance static web sites. You’ll use Hugo as a CMS and web development environment, create custom pages, and design your own Hugo themes. And you won’t stop there! Moving beyond the basics, you’ll incorporate the Jamstack model to add capabilities like eCommerce and your own APIs. The result: rich websites that are flexible and incredibly stable. What's inside     Building web pages with Hugo and Jamstack     Using the Go template language     Managing dependencies with Hugo modules     Content tagging with markup About the reader For web developers with a basic knowledge of JavaScript. About the author Atishay Jain is a Senior Computer Scientist at Adobe. He has developed web-based software used by millions of Adobe Creative Cloud customers. Table of Contents PART 1 STATIC HUGO WEBSITES: LOADING FAST, BUILDING TO LAST 1 The Jamstack and Hugo 2 Live in 30 minutes: You now have a website 3 Using markup for content 4 Content management with Hugo 5 Custom pages and customized content with the Go template language 6 Structuring web pages 7 Creating your own theme 8 Hugo Modules: Plugins for everybody PART 2 EXPANDING WITH THE JAMSTACK: DYNAMIC OUTSIDE, STATIC INSIDE 9 Accessing APIs to enhance functionality 10 The power of JavaScript 11 Breaking barriers with custom APIs and webhooks 12 Adding e-commerce capabilities using the Jamstack 13 Wrapping it up\n
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\n  \n Jokinen, M.\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Transforming scholarship in the archives through handwritten text recognition: Transkribus as a case study.\n \n \n \n \n\n\n \n Muehlberger, G.; Seaward, L.; Terras, M.; Ares Oliveira, S.; Bosch, V.; Bryan, M.; Colutto, S.; Déjean, H.; Diem, M.; Fiel, S.; Gatos, B.; Greinoecker, A.; Grüning, T.; Hackl, G.; Haukkovaara, V.; Heyer, G.; Hirvonen, L.; Hodel, T.; Jokinen, M.; Kahle, P.; Kallio, M.; Kaplan, F.; Kleber, F.; Labahn, R.; Lang, E. M.; Laube, S.; Leifert, G.; Louloudis, G.; McNicholl, R.; Meunier, J.; Michael, J.; Mühlbauer, E.; Philipp, N.; Pratikakis, I.; Puigcerver Pérez, J.; Putz, H.; Retsinas, G.; Romero, V.; Sablatnig, R.; Sánchez, J. A.; Schofield, P.; Sfikas, G.; Sieber, C.; Stamatopoulos, N.; Strauß, T.; Terbul, T.; Toselli, A. H.; Ulreich, B.; Villegas, M.; Vidal, E.; Walcher, J.; Weidemann, M.; Wurster, H.; and Zagoris, K.\n\n\n \n\n\n\n Journal of Documentation, 75(5): 954–976. September 2019.\n \n\n\n\n
\n\n\n\n \n \n \"TransformingPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{muehlberger_transforming_2019,\n\ttitle = {Transforming scholarship in the archives through handwritten text recognition: {Transkribus} as a case study},\n\tvolume = {75},\n\tissn = {0022-0418},\n\tshorttitle = {Transforming scholarship in the archives through handwritten text recognition},\n\turl = {https://www.emerald.com/insight/content/doi/10.1108/JD-07-2018-0114/full/html},\n\tdoi = {10.1108/JD-07-2018-0114},\n\tabstract = {Purpose\n              \n                An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded\n                Transkribus\n                platform. It explains HTR, demonstrates\n                Transkribus\n                , gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues.\n              \n            \n            \n              Design/methodology/approach\n              This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material.\n            \n            \n              Findings\n              \n                Transkribus\n                has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified.\n              \n            \n            \n              Research limitations/implications\n              The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc.\n            \n            \n              Practical implications\n              \n                Only HTR provided via\n                Transkribus\n                is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field.\n              \n            \n            \n              Social implications\n              The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals.\n            \n            \n              Originality/value\n              This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.},\n\tlanguage = {en},\n\tnumber = {5},\n\turldate = {2020-01-02},\n\tjournal = {Journal of Documentation},\n\tauthor = {Muehlberger, Guenter and Seaward, Louise and Terras, Melissa and Ares Oliveira, Sofia and Bosch, Vicente and Bryan, Maximilian and Colutto, Sebastian and Déjean, Hervé and Diem, Markus and Fiel, Stefan and Gatos, Basilis and Greinoecker, Albert and Grüning, Tobias and Hackl, Guenter and Haukkovaara, Vili and Heyer, Gerhard and Hirvonen, Lauri and Hodel, Tobias and Jokinen, Matti and Kahle, Philip and Kallio, Mario and Kaplan, Frederic and Kleber, Florian and Labahn, Roger and Lang, Eva Maria and Laube, Sören and Leifert, Gundram and Louloudis, Georgios and McNicholl, Rory and Meunier, Jean-Luc and Michael, Johannes and Mühlbauer, Elena and Philipp, Nathanael and Pratikakis, Ioannis and Puigcerver Pérez, Joan and Putz, Hannelore and Retsinas, George and Romero, Verónica and Sablatnig, Robert and Sánchez, Joan Andreu and Schofield, Philip and Sfikas, Giorgos and Sieber, Christian and Stamatopoulos, Nikolaos and Strauß, Tobias and Terbul, Tamara and Toselli, Alejandro Héctor and Ulreich, Berthold and Villegas, Mauricio and Vidal, Enrique and Walcher, Johanna and Weidemann, Max and Wurster, Herbert and Zagoris, Konstantinos},\n\tmonth = sep,\n\tyear = {2019},\n\tpages = {954--976},\n}\n\n
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\n Purpose An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded Transkribus platform. It explains HTR, demonstrates Transkribus , gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues. Design/methodology/approach This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material. Findings Transkribus has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified. Research limitations/implications The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc. Practical implications Only HTR provided via Transkribus is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field. Social implications The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals. Originality/value This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.\n
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\n  \n Kahle, P.\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Transforming scholarship in the archives through handwritten text recognition: Transkribus as a case study.\n \n \n \n \n\n\n \n Muehlberger, G.; Seaward, L.; Terras, M.; Ares Oliveira, S.; Bosch, V.; Bryan, M.; Colutto, S.; Déjean, H.; Diem, M.; Fiel, S.; Gatos, B.; Greinoecker, A.; Grüning, T.; Hackl, G.; Haukkovaara, V.; Heyer, G.; Hirvonen, L.; Hodel, T.; Jokinen, M.; Kahle, P.; Kallio, M.; Kaplan, F.; Kleber, F.; Labahn, R.; Lang, E. M.; Laube, S.; Leifert, G.; Louloudis, G.; McNicholl, R.; Meunier, J.; Michael, J.; Mühlbauer, E.; Philipp, N.; Pratikakis, I.; Puigcerver Pérez, J.; Putz, H.; Retsinas, G.; Romero, V.; Sablatnig, R.; Sánchez, J. A.; Schofield, P.; Sfikas, G.; Sieber, C.; Stamatopoulos, N.; Strauß, T.; Terbul, T.; Toselli, A. H.; Ulreich, B.; Villegas, M.; Vidal, E.; Walcher, J.; Weidemann, M.; Wurster, H.; and Zagoris, K.\n\n\n \n\n\n\n Journal of Documentation, 75(5): 954–976. September 2019.\n \n\n\n\n
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@article{muehlberger_transforming_2019,\n\ttitle = {Transforming scholarship in the archives through handwritten text recognition: {Transkribus} as a case study},\n\tvolume = {75},\n\tissn = {0022-0418},\n\tshorttitle = {Transforming scholarship in the archives through handwritten text recognition},\n\turl = {https://www.emerald.com/insight/content/doi/10.1108/JD-07-2018-0114/full/html},\n\tdoi = {10.1108/JD-07-2018-0114},\n\tabstract = {Purpose\n              \n                An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded\n                Transkribus\n                platform. It explains HTR, demonstrates\n                Transkribus\n                , gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues.\n              \n            \n            \n              Design/methodology/approach\n              This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material.\n            \n            \n              Findings\n              \n                Transkribus\n                has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified.\n              \n            \n            \n              Research limitations/implications\n              The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc.\n            \n            \n              Practical implications\n              \n                Only HTR provided via\n                Transkribus\n                is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field.\n              \n            \n            \n              Social implications\n              The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals.\n            \n            \n              Originality/value\n              This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.},\n\tlanguage = {en},\n\tnumber = {5},\n\turldate = {2020-01-02},\n\tjournal = {Journal of Documentation},\n\tauthor = {Muehlberger, Guenter and Seaward, Louise and Terras, Melissa and Ares Oliveira, Sofia and Bosch, Vicente and Bryan, Maximilian and Colutto, Sebastian and Déjean, Hervé and Diem, Markus and Fiel, Stefan and Gatos, Basilis and Greinoecker, Albert and Grüning, Tobias and Hackl, Guenter and Haukkovaara, Vili and Heyer, Gerhard and Hirvonen, Lauri and Hodel, Tobias and Jokinen, Matti and Kahle, Philip and Kallio, Mario and Kaplan, Frederic and Kleber, Florian and Labahn, Roger and Lang, Eva Maria and Laube, Sören and Leifert, Gundram and Louloudis, Georgios and McNicholl, Rory and Meunier, Jean-Luc and Michael, Johannes and Mühlbauer, Elena and Philipp, Nathanael and Pratikakis, Ioannis and Puigcerver Pérez, Joan and Putz, Hannelore and Retsinas, George and Romero, Verónica and Sablatnig, Robert and Sánchez, Joan Andreu and Schofield, Philip and Sfikas, Giorgos and Sieber, Christian and Stamatopoulos, Nikolaos and Strauß, Tobias and Terbul, Tamara and Toselli, Alejandro Héctor and Ulreich, Berthold and Villegas, Mauricio and Vidal, Enrique and Walcher, Johanna and Weidemann, Max and Wurster, Herbert and Zagoris, Konstantinos},\n\tmonth = sep,\n\tyear = {2019},\n\tpages = {954--976},\n}\n\n
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\n Purpose An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded Transkribus platform. It explains HTR, demonstrates Transkribus , gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues. Design/methodology/approach This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material. Findings Transkribus has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified. Research limitations/implications The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc. Practical implications Only HTR provided via Transkribus is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field. Social implications The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals. Originality/value This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.\n
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\n  \n Kahle, Ph\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n Handwritten Text Recognition (HTR) of Historical Documents as a Shared Task for Archivists, Computer Scientists and Humanities Scholars: The Model of a Transcription & Recognition Platform (TRP).\n \n \n \n\n\n \n Mühlberger, Günter; Kahle, Philip; and Colutto, Sebastian\n\n\n \n\n\n\n HistoInformatics 2014. .\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{muhlberger_gunter_handwritten_nodate,\n\ttitle = {Handwritten {Text} {Recognition} ({HTR}) of {Historical} {Documents} as a {Shared} {Task} for {Archivists}, {Computer} {Scientists} and {Humanities} {Scholars}: {The} {Model} of a {Transcription} \\& {Recognition} {Platform} ({TRP}).},\n\tjournal = {HistoInformatics 2014},\n\tauthor = {{Mühlberger, Günter} and {Kahle, Philip} and {Colutto, Sebastian}},\n}\n\n
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\n  \n Kallio, M.\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Transforming scholarship in the archives through handwritten text recognition: Transkribus as a case study.\n \n \n \n \n\n\n \n Muehlberger, G.; Seaward, L.; Terras, M.; Ares Oliveira, S.; Bosch, V.; Bryan, M.; Colutto, S.; Déjean, H.; Diem, M.; Fiel, S.; Gatos, B.; Greinoecker, A.; Grüning, T.; Hackl, G.; Haukkovaara, V.; Heyer, G.; Hirvonen, L.; Hodel, T.; Jokinen, M.; Kahle, P.; Kallio, M.; Kaplan, F.; Kleber, F.; Labahn, R.; Lang, E. M.; Laube, S.; Leifert, G.; Louloudis, G.; McNicholl, R.; Meunier, J.; Michael, J.; Mühlbauer, E.; Philipp, N.; Pratikakis, I.; Puigcerver Pérez, J.; Putz, H.; Retsinas, G.; Romero, V.; Sablatnig, R.; Sánchez, J. A.; Schofield, P.; Sfikas, G.; Sieber, C.; Stamatopoulos, N.; Strauß, T.; Terbul, T.; Toselli, A. H.; Ulreich, B.; Villegas, M.; Vidal, E.; Walcher, J.; Weidemann, M.; Wurster, H.; and Zagoris, K.\n\n\n \n\n\n\n Journal of Documentation, 75(5): 954–976. September 2019.\n \n\n\n\n
\n\n\n\n \n \n \"TransformingPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{muehlberger_transforming_2019,\n\ttitle = {Transforming scholarship in the archives through handwritten text recognition: {Transkribus} as a case study},\n\tvolume = {75},\n\tissn = {0022-0418},\n\tshorttitle = {Transforming scholarship in the archives through handwritten text recognition},\n\turl = {https://www.emerald.com/insight/content/doi/10.1108/JD-07-2018-0114/full/html},\n\tdoi = {10.1108/JD-07-2018-0114},\n\tabstract = {Purpose\n              \n                An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded\n                Transkribus\n                platform. It explains HTR, demonstrates\n                Transkribus\n                , gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues.\n              \n            \n            \n              Design/methodology/approach\n              This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material.\n            \n            \n              Findings\n              \n                Transkribus\n                has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified.\n              \n            \n            \n              Research limitations/implications\n              The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc.\n            \n            \n              Practical implications\n              \n                Only HTR provided via\n                Transkribus\n                is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field.\n              \n            \n            \n              Social implications\n              The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals.\n            \n            \n              Originality/value\n              This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.},\n\tlanguage = {en},\n\tnumber = {5},\n\turldate = {2020-01-02},\n\tjournal = {Journal of Documentation},\n\tauthor = {Muehlberger, Guenter and Seaward, Louise and Terras, Melissa and Ares Oliveira, Sofia and Bosch, Vicente and Bryan, Maximilian and Colutto, Sebastian and Déjean, Hervé and Diem, Markus and Fiel, Stefan and Gatos, Basilis and Greinoecker, Albert and Grüning, Tobias and Hackl, Guenter and Haukkovaara, Vili and Heyer, Gerhard and Hirvonen, Lauri and Hodel, Tobias and Jokinen, Matti and Kahle, Philip and Kallio, Mario and Kaplan, Frederic and Kleber, Florian and Labahn, Roger and Lang, Eva Maria and Laube, Sören and Leifert, Gundram and Louloudis, Georgios and McNicholl, Rory and Meunier, Jean-Luc and Michael, Johannes and Mühlbauer, Elena and Philipp, Nathanael and Pratikakis, Ioannis and Puigcerver Pérez, Joan and Putz, Hannelore and Retsinas, George and Romero, Verónica and Sablatnig, Robert and Sánchez, Joan Andreu and Schofield, Philip and Sfikas, Giorgos and Sieber, Christian and Stamatopoulos, Nikolaos and Strauß, Tobias and Terbul, Tamara and Toselli, Alejandro Héctor and Ulreich, Berthold and Villegas, Mauricio and Vidal, Enrique and Walcher, Johanna and Weidemann, Max and Wurster, Herbert and Zagoris, Konstantinos},\n\tmonth = sep,\n\tyear = {2019},\n\tpages = {954--976},\n}\n\n
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\n Purpose An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded Transkribus platform. It explains HTR, demonstrates Transkribus , gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues. Design/methodology/approach This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material. Findings Transkribus has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified. Research limitations/implications The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc. Practical implications Only HTR provided via Transkribus is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field. Social implications The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals. Originality/value This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.\n
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\n  \n Kaplan, F.\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Transforming scholarship in the archives through handwritten text recognition: Transkribus as a case study.\n \n \n \n \n\n\n \n Muehlberger, G.; Seaward, L.; Terras, M.; Ares Oliveira, S.; Bosch, V.; Bryan, M.; Colutto, S.; Déjean, H.; Diem, M.; Fiel, S.; Gatos, B.; Greinoecker, A.; Grüning, T.; Hackl, G.; Haukkovaara, V.; Heyer, G.; Hirvonen, L.; Hodel, T.; Jokinen, M.; Kahle, P.; Kallio, M.; Kaplan, F.; Kleber, F.; Labahn, R.; Lang, E. M.; Laube, S.; Leifert, G.; Louloudis, G.; McNicholl, R.; Meunier, J.; Michael, J.; Mühlbauer, E.; Philipp, N.; Pratikakis, I.; Puigcerver Pérez, J.; Putz, H.; Retsinas, G.; Romero, V.; Sablatnig, R.; Sánchez, J. A.; Schofield, P.; Sfikas, G.; Sieber, C.; Stamatopoulos, N.; Strauß, T.; Terbul, T.; Toselli, A. H.; Ulreich, B.; Villegas, M.; Vidal, E.; Walcher, J.; Weidemann, M.; Wurster, H.; and Zagoris, K.\n\n\n \n\n\n\n Journal of Documentation, 75(5): 954–976. September 2019.\n \n\n\n\n
\n\n\n\n \n \n \"TransformingPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{muehlberger_transforming_2019,\n\ttitle = {Transforming scholarship in the archives through handwritten text recognition: {Transkribus} as a case study},\n\tvolume = {75},\n\tissn = {0022-0418},\n\tshorttitle = {Transforming scholarship in the archives through handwritten text recognition},\n\turl = {https://www.emerald.com/insight/content/doi/10.1108/JD-07-2018-0114/full/html},\n\tdoi = {10.1108/JD-07-2018-0114},\n\tabstract = {Purpose\n              \n                An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded\n                Transkribus\n                platform. It explains HTR, demonstrates\n                Transkribus\n                , gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues.\n              \n            \n            \n              Design/methodology/approach\n              This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material.\n            \n            \n              Findings\n              \n                Transkribus\n                has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified.\n              \n            \n            \n              Research limitations/implications\n              The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc.\n            \n            \n              Practical implications\n              \n                Only HTR provided via\n                Transkribus\n                is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field.\n              \n            \n            \n              Social implications\n              The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals.\n            \n            \n              Originality/value\n              This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.},\n\tlanguage = {en},\n\tnumber = {5},\n\turldate = {2020-01-02},\n\tjournal = {Journal of Documentation},\n\tauthor = {Muehlberger, Guenter and Seaward, Louise and Terras, Melissa and Ares Oliveira, Sofia and Bosch, Vicente and Bryan, Maximilian and Colutto, Sebastian and Déjean, Hervé and Diem, Markus and Fiel, Stefan and Gatos, Basilis and Greinoecker, Albert and Grüning, Tobias and Hackl, Guenter and Haukkovaara, Vili and Heyer, Gerhard and Hirvonen, Lauri and Hodel, Tobias and Jokinen, Matti and Kahle, Philip and Kallio, Mario and Kaplan, Frederic and Kleber, Florian and Labahn, Roger and Lang, Eva Maria and Laube, Sören and Leifert, Gundram and Louloudis, Georgios and McNicholl, Rory and Meunier, Jean-Luc and Michael, Johannes and Mühlbauer, Elena and Philipp, Nathanael and Pratikakis, Ioannis and Puigcerver Pérez, Joan and Putz, Hannelore and Retsinas, George and Romero, Verónica and Sablatnig, Robert and Sánchez, Joan Andreu and Schofield, Philip and Sfikas, Giorgos and Sieber, Christian and Stamatopoulos, Nikolaos and Strauß, Tobias and Terbul, Tamara and Toselli, Alejandro Héctor and Ulreich, Berthold and Villegas, Mauricio and Vidal, Enrique and Walcher, Johanna and Weidemann, Max and Wurster, Herbert and Zagoris, Konstantinos},\n\tmonth = sep,\n\tyear = {2019},\n\tpages = {954--976},\n}\n\n
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\n Purpose An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded Transkribus platform. It explains HTR, demonstrates Transkribus , gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues. Design/methodology/approach This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material. Findings Transkribus has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified. Research limitations/implications The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc. Practical implications Only HTR provided via Transkribus is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field. Social implications The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals. Originality/value This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.\n
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\n  \n Kiessling, B.\n \n \n (2)\n \n \n
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\n \n\n \n \n \n \n \n \n The eScriptorium VRE for Manuscript Cultures – Classics@ Journal.\n \n \n \n \n\n\n \n Stokes, P. A.; Kiessling, B.; Stökl Ben Ezra, D.; Tissot, R.; and El Hassane, G.\n\n\n \n\n\n\n Classics@, 18. 2021.\n \n\n\n\n
\n\n\n\n \n \n \"ThePaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{stokes_escriptorium_2021,\n\ttitle = {The {eScriptorium} {VRE} for {Manuscript} {Cultures} – {Classics}@ {Journal}},\n\tvolume = {18},\n\turl = {https://classics-at.chs.harvard.edu/the-escriptorium-vre-for-manuscript-cultures/},\n\tlanguage = {en-US},\n\turldate = {2021-08-05},\n\tjournal = {Classics@},\n\tauthor = {Stokes, Peter A. and Kiessling, Benjamin and Stökl Ben Ezra, Daniel and Tissot, Robin and El Hassane, Gargem},\n\tyear = {2021},\n}\n\n
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\n \n\n \n \n \n \n \n eScriptorium: An Open Source Platform for Historical Document Analysis.\n \n \n \n\n\n \n Kiessling, B.; Tissot, R.; Stokes, P.; and Stökl Ben Ezra, D.\n\n\n \n\n\n\n In 2019 International Conference on Document Analysis and Recognition Workshops (ICDARW), volume 2, pages 19–19, September 2019. \n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@inproceedings{kiessling_escriptorium_2019,\n\ttitle = {{eScriptorium}: {An} {Open} {Source} {Platform} for {Historical} {Document} {Analysis}},\n\tvolume = {2},\n\tshorttitle = {{eScriptorium}},\n\tdoi = {10.1109/ICDARW.2019.10032},\n\tabstract = {We describe the new open source document analysis and annotation platform eScriptorium. It allows to upload document collections, transcribe and segment them manually or automatically with the help of the kraken OCR engine.},\n\tbooktitle = {2019 {International} {Conference} on {Document} {Analysis} and {Recognition} {Workshops} ({ICDARW})},\n\tauthor = {Kiessling, Benjamin and Tissot, Robin and Stokes, Peter and Stökl Ben Ezra, Daniel},\n\tmonth = sep,\n\tyear = {2019},\n\tkeywords = {GUI, Image segmentation, Layout, Manuals, Metadata, Training, Writing, document-analysis, handwritten-text-recognition, historical-documents, layout-segmentation},\n\tpages = {19--19},\n}\n\n
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\n We describe the new open source document analysis and annotation platform eScriptorium. It allows to upload document collections, transcribe and segment them manually or automatically with the help of the kraken OCR engine.\n
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\n  \n Kleber, F.\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Transforming scholarship in the archives through handwritten text recognition: Transkribus as a case study.\n \n \n \n \n\n\n \n Muehlberger, G.; Seaward, L.; Terras, M.; Ares Oliveira, S.; Bosch, V.; Bryan, M.; Colutto, S.; Déjean, H.; Diem, M.; Fiel, S.; Gatos, B.; Greinoecker, A.; Grüning, T.; Hackl, G.; Haukkovaara, V.; Heyer, G.; Hirvonen, L.; Hodel, T.; Jokinen, M.; Kahle, P.; Kallio, M.; Kaplan, F.; Kleber, F.; Labahn, R.; Lang, E. M.; Laube, S.; Leifert, G.; Louloudis, G.; McNicholl, R.; Meunier, J.; Michael, J.; Mühlbauer, E.; Philipp, N.; Pratikakis, I.; Puigcerver Pérez, J.; Putz, H.; Retsinas, G.; Romero, V.; Sablatnig, R.; Sánchez, J. A.; Schofield, P.; Sfikas, G.; Sieber, C.; Stamatopoulos, N.; Strauß, T.; Terbul, T.; Toselli, A. H.; Ulreich, B.; Villegas, M.; Vidal, E.; Walcher, J.; Weidemann, M.; Wurster, H.; and Zagoris, K.\n\n\n \n\n\n\n Journal of Documentation, 75(5): 954–976. September 2019.\n \n\n\n\n
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@article{muehlberger_transforming_2019,\n\ttitle = {Transforming scholarship in the archives through handwritten text recognition: {Transkribus} as a case study},\n\tvolume = {75},\n\tissn = {0022-0418},\n\tshorttitle = {Transforming scholarship in the archives through handwritten text recognition},\n\turl = {https://www.emerald.com/insight/content/doi/10.1108/JD-07-2018-0114/full/html},\n\tdoi = {10.1108/JD-07-2018-0114},\n\tabstract = {Purpose\n              \n                An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded\n                Transkribus\n                platform. It explains HTR, demonstrates\n                Transkribus\n                , gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues.\n              \n            \n            \n              Design/methodology/approach\n              This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material.\n            \n            \n              Findings\n              \n                Transkribus\n                has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified.\n              \n            \n            \n              Research limitations/implications\n              The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc.\n            \n            \n              Practical implications\n              \n                Only HTR provided via\n                Transkribus\n                is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field.\n              \n            \n            \n              Social implications\n              The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals.\n            \n            \n              Originality/value\n              This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.},\n\tlanguage = {en},\n\tnumber = {5},\n\turldate = {2020-01-02},\n\tjournal = {Journal of Documentation},\n\tauthor = {Muehlberger, Guenter and Seaward, Louise and Terras, Melissa and Ares Oliveira, Sofia and Bosch, Vicente and Bryan, Maximilian and Colutto, Sebastian and Déjean, Hervé and Diem, Markus and Fiel, Stefan and Gatos, Basilis and Greinoecker, Albert and Grüning, Tobias and Hackl, Guenter and Haukkovaara, Vili and Heyer, Gerhard and Hirvonen, Lauri and Hodel, Tobias and Jokinen, Matti and Kahle, Philip and Kallio, Mario and Kaplan, Frederic and Kleber, Florian and Labahn, Roger and Lang, Eva Maria and Laube, Sören and Leifert, Gundram and Louloudis, Georgios and McNicholl, Rory and Meunier, Jean-Luc and Michael, Johannes and Mühlbauer, Elena and Philipp, Nathanael and Pratikakis, Ioannis and Puigcerver Pérez, Joan and Putz, Hannelore and Retsinas, George and Romero, Verónica and Sablatnig, Robert and Sánchez, Joan Andreu and Schofield, Philip and Sfikas, Giorgos and Sieber, Christian and Stamatopoulos, Nikolaos and Strauß, Tobias and Terbul, Tamara and Toselli, Alejandro Héctor and Ulreich, Berthold and Villegas, Mauricio and Vidal, Enrique and Walcher, Johanna and Weidemann, Max and Wurster, Herbert and Zagoris, Konstantinos},\n\tmonth = sep,\n\tyear = {2019},\n\tpages = {954--976},\n}\n\n
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\n Purpose An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded Transkribus platform. It explains HTR, demonstrates Transkribus , gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues. Design/methodology/approach This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material. Findings Transkribus has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified. Research limitations/implications The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc. Practical implications Only HTR provided via Transkribus is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field. Social implications The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals. Originality/value This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.\n
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\n  \n Krenn, M.\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n Bibliotheca Palatino. - digital. Handschriftendigitalisierung an der Universitätsbibliothek Heidelberg.\n \n \n \n\n\n \n Krenn, M.\n\n\n \n\n\n\n In Zur Erforschung mittelalterlicher Bibliotheken. Chancen - Entwicklungen - Perspektiven, pages 235–244. 2009.\n \n\n\n\n
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@incollection{krenn_bibliotheca_2009,\n\ttitle = {Bibliotheca {Palatino}. - digital. {Handschriftendigitalisierung} an der {Universitätsbibliothek} {Heidelberg}},\n\tbooktitle = {Zur {Erforschung} mittelalterlicher {Bibliotheken}. {Chancen} - {Entwicklungen} - {Perspektiven}},\n\tauthor = {Krenn, Margit},\n\tyear = {2009},\n\tpages = {235--244},\n}\n\n
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\n  \n Labahn, R.\n \n \n (2)\n \n \n
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\n \n\n \n \n \n \n \n \n Evaluating Sequence-to-Sequence Models for Handwritten Text Recognition.\n \n \n \n \n\n\n \n Michael, J.; Labahn, R.; Grüning, T.; and Zöllner, J.\n\n\n \n\n\n\n arXiv:1903.07377 [cs]. July 2019.\n arXiv: 1903.07377\n\n\n\n
\n\n\n\n \n \n \"EvaluatingPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
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@article{michael_evaluating_2019,\n\ttitle = {Evaluating {Sequence}-to-{Sequence} {Models} for {Handwritten} {Text} {Recognition}},\n\turl = {http://arxiv.org/abs/1903.07377},\n\tabstract = {Encoder-decoder models have become an effective approach for sequence learning tasks like machine translation, image captioning and speech recognition, but have yet to show competitive results for handwritten text recognition. To this end, we propose an attention-based sequence-to-sequence model. It combines a convolutional neural network as a generic feature extractor with a recurrent neural network to encode both the visual information, as well as the temporal context between characters in the input image, and uses a separate recurrent neural network to decode the actual character sequence. We make experimental comparisons between various attention mechanisms and positional encodings, in order to find an appropriate alignment between the input and output sequence. The model can be trained end-to-end and the optional integration of a hybrid loss allows the encoder to retain an interpretable and usable output, if desired. We achieve competitive results on the IAM and ICFHR2016 READ data sets compared to the state-of-the-art without the use of a language model, and we significantly improve over any recent sequence-to-sequence approaches.},\n\turldate = {2022-01-07},\n\tjournal = {arXiv:1903.07377 [cs]},\n\tauthor = {Michael, Johannes and Labahn, Roger and Grüning, Tobias and Zöllner, Jochen},\n\tmonth = jul,\n\tyear = {2019},\n\tnote = {arXiv: 1903.07377},\n\tkeywords = {Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning},\n}\n\n
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\n Encoder-decoder models have become an effective approach for sequence learning tasks like machine translation, image captioning and speech recognition, but have yet to show competitive results for handwritten text recognition. To this end, we propose an attention-based sequence-to-sequence model. It combines a convolutional neural network as a generic feature extractor with a recurrent neural network to encode both the visual information, as well as the temporal context between characters in the input image, and uses a separate recurrent neural network to decode the actual character sequence. We make experimental comparisons between various attention mechanisms and positional encodings, in order to find an appropriate alignment between the input and output sequence. The model can be trained end-to-end and the optional integration of a hybrid loss allows the encoder to retain an interpretable and usable output, if desired. We achieve competitive results on the IAM and ICFHR2016 READ data sets compared to the state-of-the-art without the use of a language model, and we significantly improve over any recent sequence-to-sequence approaches.\n
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\n \n\n \n \n \n \n \n \n Transforming scholarship in the archives through handwritten text recognition: Transkribus as a case study.\n \n \n \n \n\n\n \n Muehlberger, G.; Seaward, L.; Terras, M.; Ares Oliveira, S.; Bosch, V.; Bryan, M.; Colutto, S.; Déjean, H.; Diem, M.; Fiel, S.; Gatos, B.; Greinoecker, A.; Grüning, T.; Hackl, G.; Haukkovaara, V.; Heyer, G.; Hirvonen, L.; Hodel, T.; Jokinen, M.; Kahle, P.; Kallio, M.; Kaplan, F.; Kleber, F.; Labahn, R.; Lang, E. M.; Laube, S.; Leifert, G.; Louloudis, G.; McNicholl, R.; Meunier, J.; Michael, J.; Mühlbauer, E.; Philipp, N.; Pratikakis, I.; Puigcerver Pérez, J.; Putz, H.; Retsinas, G.; Romero, V.; Sablatnig, R.; Sánchez, J. A.; Schofield, P.; Sfikas, G.; Sieber, C.; Stamatopoulos, N.; Strauß, T.; Terbul, T.; Toselli, A. H.; Ulreich, B.; Villegas, M.; Vidal, E.; Walcher, J.; Weidemann, M.; Wurster, H.; and Zagoris, K.\n\n\n \n\n\n\n Journal of Documentation, 75(5): 954–976. September 2019.\n \n\n\n\n
\n\n\n\n \n \n \"TransformingPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{muehlberger_transforming_2019,\n\ttitle = {Transforming scholarship in the archives through handwritten text recognition: {Transkribus} as a case study},\n\tvolume = {75},\n\tissn = {0022-0418},\n\tshorttitle = {Transforming scholarship in the archives through handwritten text recognition},\n\turl = {https://www.emerald.com/insight/content/doi/10.1108/JD-07-2018-0114/full/html},\n\tdoi = {10.1108/JD-07-2018-0114},\n\tabstract = {Purpose\n              \n                An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded\n                Transkribus\n                platform. It explains HTR, demonstrates\n                Transkribus\n                , gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues.\n              \n            \n            \n              Design/methodology/approach\n              This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material.\n            \n            \n              Findings\n              \n                Transkribus\n                has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified.\n              \n            \n            \n              Research limitations/implications\n              The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc.\n            \n            \n              Practical implications\n              \n                Only HTR provided via\n                Transkribus\n                is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field.\n              \n            \n            \n              Social implications\n              The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals.\n            \n            \n              Originality/value\n              This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.},\n\tlanguage = {en},\n\tnumber = {5},\n\turldate = {2020-01-02},\n\tjournal = {Journal of Documentation},\n\tauthor = {Muehlberger, Guenter and Seaward, Louise and Terras, Melissa and Ares Oliveira, Sofia and Bosch, Vicente and Bryan, Maximilian and Colutto, Sebastian and Déjean, Hervé and Diem, Markus and Fiel, Stefan and Gatos, Basilis and Greinoecker, Albert and Grüning, Tobias and Hackl, Guenter and Haukkovaara, Vili and Heyer, Gerhard and Hirvonen, Lauri and Hodel, Tobias and Jokinen, Matti and Kahle, Philip and Kallio, Mario and Kaplan, Frederic and Kleber, Florian and Labahn, Roger and Lang, Eva Maria and Laube, Sören and Leifert, Gundram and Louloudis, Georgios and McNicholl, Rory and Meunier, Jean-Luc and Michael, Johannes and Mühlbauer, Elena and Philipp, Nathanael and Pratikakis, Ioannis and Puigcerver Pérez, Joan and Putz, Hannelore and Retsinas, George and Romero, Verónica and Sablatnig, Robert and Sánchez, Joan Andreu and Schofield, Philip and Sfikas, Giorgos and Sieber, Christian and Stamatopoulos, Nikolaos and Strauß, Tobias and Terbul, Tamara and Toselli, Alejandro Héctor and Ulreich, Berthold and Villegas, Mauricio and Vidal, Enrique and Walcher, Johanna and Weidemann, Max and Wurster, Herbert and Zagoris, Konstantinos},\n\tmonth = sep,\n\tyear = {2019},\n\tpages = {954--976},\n}\n\n
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\n Purpose An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded Transkribus platform. It explains HTR, demonstrates Transkribus , gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues. Design/methodology/approach This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material. Findings Transkribus has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified. Research limitations/implications The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc. Practical implications Only HTR provided via Transkribus is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field. Social implications The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals. Originality/value This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.\n
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\n  \n Lang, E.\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Transforming scholarship in the archives through handwritten text recognition: Transkribus as a case study.\n \n \n \n \n\n\n \n Muehlberger, G.; Seaward, L.; Terras, M.; Ares Oliveira, S.; Bosch, V.; Bryan, M.; Colutto, S.; Déjean, H.; Diem, M.; Fiel, S.; Gatos, B.; Greinoecker, A.; Grüning, T.; Hackl, G.; Haukkovaara, V.; Heyer, G.; Hirvonen, L.; Hodel, T.; Jokinen, M.; Kahle, P.; Kallio, M.; Kaplan, F.; Kleber, F.; Labahn, R.; Lang, E. M.; Laube, S.; Leifert, G.; Louloudis, G.; McNicholl, R.; Meunier, J.; Michael, J.; Mühlbauer, E.; Philipp, N.; Pratikakis, I.; Puigcerver Pérez, J.; Putz, H.; Retsinas, G.; Romero, V.; Sablatnig, R.; Sánchez, J. A.; Schofield, P.; Sfikas, G.; Sieber, C.; Stamatopoulos, N.; Strauß, T.; Terbul, T.; Toselli, A. H.; Ulreich, B.; Villegas, M.; Vidal, E.; Walcher, J.; Weidemann, M.; Wurster, H.; and Zagoris, K.\n\n\n \n\n\n\n Journal of Documentation, 75(5): 954–976. September 2019.\n \n\n\n\n
\n\n\n\n \n \n \"TransformingPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{muehlberger_transforming_2019,\n\ttitle = {Transforming scholarship in the archives through handwritten text recognition: {Transkribus} as a case study},\n\tvolume = {75},\n\tissn = {0022-0418},\n\tshorttitle = {Transforming scholarship in the archives through handwritten text recognition},\n\turl = {https://www.emerald.com/insight/content/doi/10.1108/JD-07-2018-0114/full/html},\n\tdoi = {10.1108/JD-07-2018-0114},\n\tabstract = {Purpose\n              \n                An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded\n                Transkribus\n                platform. It explains HTR, demonstrates\n                Transkribus\n                , gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues.\n              \n            \n            \n              Design/methodology/approach\n              This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material.\n            \n            \n              Findings\n              \n                Transkribus\n                has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified.\n              \n            \n            \n              Research limitations/implications\n              The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc.\n            \n            \n              Practical implications\n              \n                Only HTR provided via\n                Transkribus\n                is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field.\n              \n            \n            \n              Social implications\n              The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals.\n            \n            \n              Originality/value\n              This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.},\n\tlanguage = {en},\n\tnumber = {5},\n\turldate = {2020-01-02},\n\tjournal = {Journal of Documentation},\n\tauthor = {Muehlberger, Guenter and Seaward, Louise and Terras, Melissa and Ares Oliveira, Sofia and Bosch, Vicente and Bryan, Maximilian and Colutto, Sebastian and Déjean, Hervé and Diem, Markus and Fiel, Stefan and Gatos, Basilis and Greinoecker, Albert and Grüning, Tobias and Hackl, Guenter and Haukkovaara, Vili and Heyer, Gerhard and Hirvonen, Lauri and Hodel, Tobias and Jokinen, Matti and Kahle, Philip and Kallio, Mario and Kaplan, Frederic and Kleber, Florian and Labahn, Roger and Lang, Eva Maria and Laube, Sören and Leifert, Gundram and Louloudis, Georgios and McNicholl, Rory and Meunier, Jean-Luc and Michael, Johannes and Mühlbauer, Elena and Philipp, Nathanael and Pratikakis, Ioannis and Puigcerver Pérez, Joan and Putz, Hannelore and Retsinas, George and Romero, Verónica and Sablatnig, Robert and Sánchez, Joan Andreu and Schofield, Philip and Sfikas, Giorgos and Sieber, Christian and Stamatopoulos, Nikolaos and Strauß, Tobias and Terbul, Tamara and Toselli, Alejandro Héctor and Ulreich, Berthold and Villegas, Mauricio and Vidal, Enrique and Walcher, Johanna and Weidemann, Max and Wurster, Herbert and Zagoris, Konstantinos},\n\tmonth = sep,\n\tyear = {2019},\n\tpages = {954--976},\n}\n\n
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\n Purpose An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded Transkribus platform. It explains HTR, demonstrates Transkribus , gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues. Design/methodology/approach This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material. Findings Transkribus has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified. Research limitations/implications The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc. Practical implications Only HTR provided via Transkribus is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field. Social implications The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals. Originality/value This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.\n
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\n  \n Laube, S.\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Transforming scholarship in the archives through handwritten text recognition: Transkribus as a case study.\n \n \n \n \n\n\n \n Muehlberger, G.; Seaward, L.; Terras, M.; Ares Oliveira, S.; Bosch, V.; Bryan, M.; Colutto, S.; Déjean, H.; Diem, M.; Fiel, S.; Gatos, B.; Greinoecker, A.; Grüning, T.; Hackl, G.; Haukkovaara, V.; Heyer, G.; Hirvonen, L.; Hodel, T.; Jokinen, M.; Kahle, P.; Kallio, M.; Kaplan, F.; Kleber, F.; Labahn, R.; Lang, E. M.; Laube, S.; Leifert, G.; Louloudis, G.; McNicholl, R.; Meunier, J.; Michael, J.; Mühlbauer, E.; Philipp, N.; Pratikakis, I.; Puigcerver Pérez, J.; Putz, H.; Retsinas, G.; Romero, V.; Sablatnig, R.; Sánchez, J. A.; Schofield, P.; Sfikas, G.; Sieber, C.; Stamatopoulos, N.; Strauß, T.; Terbul, T.; Toselli, A. H.; Ulreich, B.; Villegas, M.; Vidal, E.; Walcher, J.; Weidemann, M.; Wurster, H.; and Zagoris, K.\n\n\n \n\n\n\n Journal of Documentation, 75(5): 954–976. September 2019.\n \n\n\n\n
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@article{muehlberger_transforming_2019,\n\ttitle = {Transforming scholarship in the archives through handwritten text recognition: {Transkribus} as a case study},\n\tvolume = {75},\n\tissn = {0022-0418},\n\tshorttitle = {Transforming scholarship in the archives through handwritten text recognition},\n\turl = {https://www.emerald.com/insight/content/doi/10.1108/JD-07-2018-0114/full/html},\n\tdoi = {10.1108/JD-07-2018-0114},\n\tabstract = {Purpose\n              \n                An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded\n                Transkribus\n                platform. It explains HTR, demonstrates\n                Transkribus\n                , gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues.\n              \n            \n            \n              Design/methodology/approach\n              This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material.\n            \n            \n              Findings\n              \n                Transkribus\n                has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified.\n              \n            \n            \n              Research limitations/implications\n              The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc.\n            \n            \n              Practical implications\n              \n                Only HTR provided via\n                Transkribus\n                is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field.\n              \n            \n            \n              Social implications\n              The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals.\n            \n            \n              Originality/value\n              This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.},\n\tlanguage = {en},\n\tnumber = {5},\n\turldate = {2020-01-02},\n\tjournal = {Journal of Documentation},\n\tauthor = {Muehlberger, Guenter and Seaward, Louise and Terras, Melissa and Ares Oliveira, Sofia and Bosch, Vicente and Bryan, Maximilian and Colutto, Sebastian and Déjean, Hervé and Diem, Markus and Fiel, Stefan and Gatos, Basilis and Greinoecker, Albert and Grüning, Tobias and Hackl, Guenter and Haukkovaara, Vili and Heyer, Gerhard and Hirvonen, Lauri and Hodel, Tobias and Jokinen, Matti and Kahle, Philip and Kallio, Mario and Kaplan, Frederic and Kleber, Florian and Labahn, Roger and Lang, Eva Maria and Laube, Sören and Leifert, Gundram and Louloudis, Georgios and McNicholl, Rory and Meunier, Jean-Luc and Michael, Johannes and Mühlbauer, Elena and Philipp, Nathanael and Pratikakis, Ioannis and Puigcerver Pérez, Joan and Putz, Hannelore and Retsinas, George and Romero, Verónica and Sablatnig, Robert and Sánchez, Joan Andreu and Schofield, Philip and Sfikas, Giorgos and Sieber, Christian and Stamatopoulos, Nikolaos and Strauß, Tobias and Terbul, Tamara and Toselli, Alejandro Héctor and Ulreich, Berthold and Villegas, Mauricio and Vidal, Enrique and Walcher, Johanna and Weidemann, Max and Wurster, Herbert and Zagoris, Konstantinos},\n\tmonth = sep,\n\tyear = {2019},\n\tpages = {954--976},\n}\n\n
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\n Purpose An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded Transkribus platform. It explains HTR, demonstrates Transkribus , gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues. Design/methodology/approach This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material. Findings Transkribus has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified. Research limitations/implications The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc. Practical implications Only HTR provided via Transkribus is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field. Social implications The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals. Originality/value This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.\n
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\n  \n Lehenmeier, C.\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Usability statt Frustration.\n \n \n \n \n\n\n \n Lehenmeier, C.; and Burghardt, M.\n\n\n \n\n\n\n Gesellschaft für Informatik e.V., 2019.\n \n\n\n\n
\n\n\n\n \n \n \"UsabilityPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@book{lehenmeier_usability_2019,\n\ttitle = {Usability statt {Frustration}},\n\tisbn = {978-3-88579-689-3},\n\turl = {http://dl.gi.de/handle/20.500.12116/25042},\n\tabstract = {Der zunehmenden Verwendung computergestützter Methoden in der geisteswissenschaftlichen Forschung im Sinne der „Digital Humanities“ steht häufig eine vernachlässigte Usability der digitalen Tools gegenüber. So trägt der mangelnde Einsatz etablierter Praktiken des Usability Engineering entscheidend dazu bei, dass Erst- und Gelegenheitsnutzer\\_Innen davon abgehalten werden, digitale Ressourcen und komplexe Softwarewerkzeuge in der eigenen Forschung zu nutzen. Dies bestätigen die in diesem Beitrag präsentierten Ergebnisse einer Usability- Studie, die exemplarisch anhand der weitverbreiteten OCR-Software Transkribus durchgeführt wurde. Die Evaluationsergebnisse offenbaren teils erhebliche Usability-Probleme der Software, die durch einen nutzerzentrierten Entwicklungsprozess verhindert werden hätten können. Die Studie zeigt, dass iterative Usability-Tests ein unverzichtbares Werkzeug darstellen, um ein Tool mit hoher Benutzerfreundlichkeit zu erstellen und dessen Verwendung damit auch einer breiten Nutzerschaft aus geistes- und kulturwissenschaftlichen Domänen zu ermöglichen.},\n\tlanguage = {de},\n\turldate = {2019-10-10},\n\tpublisher = {Gesellschaft für Informatik e.V.},\n\tauthor = {Lehenmeier, Constantin and Burghardt, Manuel},\n\tyear = {2019},\n\tdoi = {10.18420/inf2019_ws10},\n}\n\n
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\n Der zunehmenden Verwendung computergestützter Methoden in der geisteswissenschaftlichen Forschung im Sinne der „Digital Humanities“ steht häufig eine vernachlässigte Usability der digitalen Tools gegenüber. So trägt der mangelnde Einsatz etablierter Praktiken des Usability Engineering entscheidend dazu bei, dass Erst- und Gelegenheitsnutzer_Innen davon abgehalten werden, digitale Ressourcen und komplexe Softwarewerkzeuge in der eigenen Forschung zu nutzen. Dies bestätigen die in diesem Beitrag präsentierten Ergebnisse einer Usability- Studie, die exemplarisch anhand der weitverbreiteten OCR-Software Transkribus durchgeführt wurde. Die Evaluationsergebnisse offenbaren teils erhebliche Usability-Probleme der Software, die durch einen nutzerzentrierten Entwicklungsprozess verhindert werden hätten können. Die Studie zeigt, dass iterative Usability-Tests ein unverzichtbares Werkzeug darstellen, um ein Tool mit hoher Benutzerfreundlichkeit zu erstellen und dessen Verwendung damit auch einer breiten Nutzerschaft aus geistes- und kulturwissenschaftlichen Domänen zu ermöglichen.\n
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\n  \n Leifert, G.\n \n \n (1)\n \n \n
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\n \n \n
\n \n\n \n \n \n \n \n \n Transforming scholarship in the archives through handwritten text recognition: Transkribus as a case study.\n \n \n \n \n\n\n \n Muehlberger, G.; Seaward, L.; Terras, M.; Ares Oliveira, S.; Bosch, V.; Bryan, M.; Colutto, S.; Déjean, H.; Diem, M.; Fiel, S.; Gatos, B.; Greinoecker, A.; Grüning, T.; Hackl, G.; Haukkovaara, V.; Heyer, G.; Hirvonen, L.; Hodel, T.; Jokinen, M.; Kahle, P.; Kallio, M.; Kaplan, F.; Kleber, F.; Labahn, R.; Lang, E. M.; Laube, S.; Leifert, G.; Louloudis, G.; McNicholl, R.; Meunier, J.; Michael, J.; Mühlbauer, E.; Philipp, N.; Pratikakis, I.; Puigcerver Pérez, J.; Putz, H.; Retsinas, G.; Romero, V.; Sablatnig, R.; Sánchez, J. A.; Schofield, P.; Sfikas, G.; Sieber, C.; Stamatopoulos, N.; Strauß, T.; Terbul, T.; Toselli, A. H.; Ulreich, B.; Villegas, M.; Vidal, E.; Walcher, J.; Weidemann, M.; Wurster, H.; and Zagoris, K.\n\n\n \n\n\n\n Journal of Documentation, 75(5): 954–976. September 2019.\n \n\n\n\n
\n\n\n\n \n \n \"TransformingPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{muehlberger_transforming_2019,\n\ttitle = {Transforming scholarship in the archives through handwritten text recognition: {Transkribus} as a case study},\n\tvolume = {75},\n\tissn = {0022-0418},\n\tshorttitle = {Transforming scholarship in the archives through handwritten text recognition},\n\turl = {https://www.emerald.com/insight/content/doi/10.1108/JD-07-2018-0114/full/html},\n\tdoi = {10.1108/JD-07-2018-0114},\n\tabstract = {Purpose\n              \n                An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded\n                Transkribus\n                platform. It explains HTR, demonstrates\n                Transkribus\n                , gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues.\n              \n            \n            \n              Design/methodology/approach\n              This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material.\n            \n            \n              Findings\n              \n                Transkribus\n                has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified.\n              \n            \n            \n              Research limitations/implications\n              The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc.\n            \n            \n              Practical implications\n              \n                Only HTR provided via\n                Transkribus\n                is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field.\n              \n            \n            \n              Social implications\n              The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals.\n            \n            \n              Originality/value\n              This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.},\n\tlanguage = {en},\n\tnumber = {5},\n\turldate = {2020-01-02},\n\tjournal = {Journal of Documentation},\n\tauthor = {Muehlberger, Guenter and Seaward, Louise and Terras, Melissa and Ares Oliveira, Sofia and Bosch, Vicente and Bryan, Maximilian and Colutto, Sebastian and Déjean, Hervé and Diem, Markus and Fiel, Stefan and Gatos, Basilis and Greinoecker, Albert and Grüning, Tobias and Hackl, Guenter and Haukkovaara, Vili and Heyer, Gerhard and Hirvonen, Lauri and Hodel, Tobias and Jokinen, Matti and Kahle, Philip and Kallio, Mario and Kaplan, Frederic and Kleber, Florian and Labahn, Roger and Lang, Eva Maria and Laube, Sören and Leifert, Gundram and Louloudis, Georgios and McNicholl, Rory and Meunier, Jean-Luc and Michael, Johannes and Mühlbauer, Elena and Philipp, Nathanael and Pratikakis, Ioannis and Puigcerver Pérez, Joan and Putz, Hannelore and Retsinas, George and Romero, Verónica and Sablatnig, Robert and Sánchez, Joan Andreu and Schofield, Philip and Sfikas, Giorgos and Sieber, Christian and Stamatopoulos, Nikolaos and Strauß, Tobias and Terbul, Tamara and Toselli, Alejandro Héctor and Ulreich, Berthold and Villegas, Mauricio and Vidal, Enrique and Walcher, Johanna and Weidemann, Max and Wurster, Herbert and Zagoris, Konstantinos},\n\tmonth = sep,\n\tyear = {2019},\n\tpages = {954--976},\n}\n\n
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\n Purpose An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded Transkribus platform. It explains HTR, demonstrates Transkribus , gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues. Design/methodology/approach This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material. Findings Transkribus has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified. Research limitations/implications The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc. Practical implications Only HTR provided via Transkribus is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field. Social implications The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals. Originality/value This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.\n
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\n  \n Louloudis, G.\n \n \n (1)\n \n \n
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\n \n \n
\n \n\n \n \n \n \n \n \n Transforming scholarship in the archives through handwritten text recognition: Transkribus as a case study.\n \n \n \n \n\n\n \n Muehlberger, G.; Seaward, L.; Terras, M.; Ares Oliveira, S.; Bosch, V.; Bryan, M.; Colutto, S.; Déjean, H.; Diem, M.; Fiel, S.; Gatos, B.; Greinoecker, A.; Grüning, T.; Hackl, G.; Haukkovaara, V.; Heyer, G.; Hirvonen, L.; Hodel, T.; Jokinen, M.; Kahle, P.; Kallio, M.; Kaplan, F.; Kleber, F.; Labahn, R.; Lang, E. M.; Laube, S.; Leifert, G.; Louloudis, G.; McNicholl, R.; Meunier, J.; Michael, J.; Mühlbauer, E.; Philipp, N.; Pratikakis, I.; Puigcerver Pérez, J.; Putz, H.; Retsinas, G.; Romero, V.; Sablatnig, R.; Sánchez, J. A.; Schofield, P.; Sfikas, G.; Sieber, C.; Stamatopoulos, N.; Strauß, T.; Terbul, T.; Toselli, A. H.; Ulreich, B.; Villegas, M.; Vidal, E.; Walcher, J.; Weidemann, M.; Wurster, H.; and Zagoris, K.\n\n\n \n\n\n\n Journal of Documentation, 75(5): 954–976. September 2019.\n \n\n\n\n
\n\n\n\n \n \n \"TransformingPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{muehlberger_transforming_2019,\n\ttitle = {Transforming scholarship in the archives through handwritten text recognition: {Transkribus} as a case study},\n\tvolume = {75},\n\tissn = {0022-0418},\n\tshorttitle = {Transforming scholarship in the archives through handwritten text recognition},\n\turl = {https://www.emerald.com/insight/content/doi/10.1108/JD-07-2018-0114/full/html},\n\tdoi = {10.1108/JD-07-2018-0114},\n\tabstract = {Purpose\n              \n                An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded\n                Transkribus\n                platform. It explains HTR, demonstrates\n                Transkribus\n                , gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues.\n              \n            \n            \n              Design/methodology/approach\n              This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material.\n            \n            \n              Findings\n              \n                Transkribus\n                has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified.\n              \n            \n            \n              Research limitations/implications\n              The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc.\n            \n            \n              Practical implications\n              \n                Only HTR provided via\n                Transkribus\n                is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field.\n              \n            \n            \n              Social implications\n              The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals.\n            \n            \n              Originality/value\n              This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.},\n\tlanguage = {en},\n\tnumber = {5},\n\turldate = {2020-01-02},\n\tjournal = {Journal of Documentation},\n\tauthor = {Muehlberger, Guenter and Seaward, Louise and Terras, Melissa and Ares Oliveira, Sofia and Bosch, Vicente and Bryan, Maximilian and Colutto, Sebastian and Déjean, Hervé and Diem, Markus and Fiel, Stefan and Gatos, Basilis and Greinoecker, Albert and Grüning, Tobias and Hackl, Guenter and Haukkovaara, Vili and Heyer, Gerhard and Hirvonen, Lauri and Hodel, Tobias and Jokinen, Matti and Kahle, Philip and Kallio, Mario and Kaplan, Frederic and Kleber, Florian and Labahn, Roger and Lang, Eva Maria and Laube, Sören and Leifert, Gundram and Louloudis, Georgios and McNicholl, Rory and Meunier, Jean-Luc and Michael, Johannes and Mühlbauer, Elena and Philipp, Nathanael and Pratikakis, Ioannis and Puigcerver Pérez, Joan and Putz, Hannelore and Retsinas, George and Romero, Verónica and Sablatnig, Robert and Sánchez, Joan Andreu and Schofield, Philip and Sfikas, Giorgos and Sieber, Christian and Stamatopoulos, Nikolaos and Strauß, Tobias and Terbul, Tamara and Toselli, Alejandro Héctor and Ulreich, Berthold and Villegas, Mauricio and Vidal, Enrique and Walcher, Johanna and Weidemann, Max and Wurster, Herbert and Zagoris, Konstantinos},\n\tmonth = sep,\n\tyear = {2019},\n\tpages = {954--976},\n}\n\n
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\n Purpose An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded Transkribus platform. It explains HTR, demonstrates Transkribus , gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues. Design/methodology/approach This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material. Findings Transkribus has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified. Research limitations/implications The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc. Practical implications Only HTR provided via Transkribus is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field. Social implications The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals. Originality/value This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.\n
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\n  \n MacEachern, A.\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n The Programming Historian.\n \n \n \n \n\n\n \n Turkel, W. J.; and MacEachern, A.\n\n\n \n\n\n\n 2007.\n \n\n\n\n
\n\n\n\n \n \n \"ThePaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@misc{turkel_programming_2007,\n\ttitle = {The {Programming} {Historian}},\n\turl = {http://niche-canada.org/member-projects/programming-historian/ch1.html},\n\tlanguage = {en},\n\tauthor = {Turkel, William J. and MacEachern, Alan},\n\tyear = {2007},\n}\n\n
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\n  \n McNicholl, R.\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Transforming scholarship in the archives through handwritten text recognition: Transkribus as a case study.\n \n \n \n \n\n\n \n Muehlberger, G.; Seaward, L.; Terras, M.; Ares Oliveira, S.; Bosch, V.; Bryan, M.; Colutto, S.; Déjean, H.; Diem, M.; Fiel, S.; Gatos, B.; Greinoecker, A.; Grüning, T.; Hackl, G.; Haukkovaara, V.; Heyer, G.; Hirvonen, L.; Hodel, T.; Jokinen, M.; Kahle, P.; Kallio, M.; Kaplan, F.; Kleber, F.; Labahn, R.; Lang, E. M.; Laube, S.; Leifert, G.; Louloudis, G.; McNicholl, R.; Meunier, J.; Michael, J.; Mühlbauer, E.; Philipp, N.; Pratikakis, I.; Puigcerver Pérez, J.; Putz, H.; Retsinas, G.; Romero, V.; Sablatnig, R.; Sánchez, J. A.; Schofield, P.; Sfikas, G.; Sieber, C.; Stamatopoulos, N.; Strauß, T.; Terbul, T.; Toselli, A. H.; Ulreich, B.; Villegas, M.; Vidal, E.; Walcher, J.; Weidemann, M.; Wurster, H.; and Zagoris, K.\n\n\n \n\n\n\n Journal of Documentation, 75(5): 954–976. September 2019.\n \n\n\n\n
\n\n\n\n \n \n \"TransformingPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{muehlberger_transforming_2019,\n\ttitle = {Transforming scholarship in the archives through handwritten text recognition: {Transkribus} as a case study},\n\tvolume = {75},\n\tissn = {0022-0418},\n\tshorttitle = {Transforming scholarship in the archives through handwritten text recognition},\n\turl = {https://www.emerald.com/insight/content/doi/10.1108/JD-07-2018-0114/full/html},\n\tdoi = {10.1108/JD-07-2018-0114},\n\tabstract = {Purpose\n              \n                An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded\n                Transkribus\n                platform. It explains HTR, demonstrates\n                Transkribus\n                , gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues.\n              \n            \n            \n              Design/methodology/approach\n              This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material.\n            \n            \n              Findings\n              \n                Transkribus\n                has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified.\n              \n            \n            \n              Research limitations/implications\n              The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc.\n            \n            \n              Practical implications\n              \n                Only HTR provided via\n                Transkribus\n                is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field.\n              \n            \n            \n              Social implications\n              The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals.\n            \n            \n              Originality/value\n              This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.},\n\tlanguage = {en},\n\tnumber = {5},\n\turldate = {2020-01-02},\n\tjournal = {Journal of Documentation},\n\tauthor = {Muehlberger, Guenter and Seaward, Louise and Terras, Melissa and Ares Oliveira, Sofia and Bosch, Vicente and Bryan, Maximilian and Colutto, Sebastian and Déjean, Hervé and Diem, Markus and Fiel, Stefan and Gatos, Basilis and Greinoecker, Albert and Grüning, Tobias and Hackl, Guenter and Haukkovaara, Vili and Heyer, Gerhard and Hirvonen, Lauri and Hodel, Tobias and Jokinen, Matti and Kahle, Philip and Kallio, Mario and Kaplan, Frederic and Kleber, Florian and Labahn, Roger and Lang, Eva Maria and Laube, Sören and Leifert, Gundram and Louloudis, Georgios and McNicholl, Rory and Meunier, Jean-Luc and Michael, Johannes and Mühlbauer, Elena and Philipp, Nathanael and Pratikakis, Ioannis and Puigcerver Pérez, Joan and Putz, Hannelore and Retsinas, George and Romero, Verónica and Sablatnig, Robert and Sánchez, Joan Andreu and Schofield, Philip and Sfikas, Giorgos and Sieber, Christian and Stamatopoulos, Nikolaos and Strauß, Tobias and Terbul, Tamara and Toselli, Alejandro Héctor and Ulreich, Berthold and Villegas, Mauricio and Vidal, Enrique and Walcher, Johanna and Weidemann, Max and Wurster, Herbert and Zagoris, Konstantinos},\n\tmonth = sep,\n\tyear = {2019},\n\tpages = {954--976},\n}\n\n
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\n Purpose An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded Transkribus platform. It explains HTR, demonstrates Transkribus , gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues. Design/methodology/approach This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material. Findings Transkribus has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified. Research limitations/implications The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc. Practical implications Only HTR provided via Transkribus is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field. Social implications The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals. Originality/value This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.\n
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\n  \n Meunier, J.\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Transforming scholarship in the archives through handwritten text recognition: Transkribus as a case study.\n \n \n \n \n\n\n \n Muehlberger, G.; Seaward, L.; Terras, M.; Ares Oliveira, S.; Bosch, V.; Bryan, M.; Colutto, S.; Déjean, H.; Diem, M.; Fiel, S.; Gatos, B.; Greinoecker, A.; Grüning, T.; Hackl, G.; Haukkovaara, V.; Heyer, G.; Hirvonen, L.; Hodel, T.; Jokinen, M.; Kahle, P.; Kallio, M.; Kaplan, F.; Kleber, F.; Labahn, R.; Lang, E. M.; Laube, S.; Leifert, G.; Louloudis, G.; McNicholl, R.; Meunier, J.; Michael, J.; Mühlbauer, E.; Philipp, N.; Pratikakis, I.; Puigcerver Pérez, J.; Putz, H.; Retsinas, G.; Romero, V.; Sablatnig, R.; Sánchez, J. A.; Schofield, P.; Sfikas, G.; Sieber, C.; Stamatopoulos, N.; Strauß, T.; Terbul, T.; Toselli, A. H.; Ulreich, B.; Villegas, M.; Vidal, E.; Walcher, J.; Weidemann, M.; Wurster, H.; and Zagoris, K.\n\n\n \n\n\n\n Journal of Documentation, 75(5): 954–976. September 2019.\n \n\n\n\n
\n\n\n\n \n \n \"TransformingPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{muehlberger_transforming_2019,\n\ttitle = {Transforming scholarship in the archives through handwritten text recognition: {Transkribus} as a case study},\n\tvolume = {75},\n\tissn = {0022-0418},\n\tshorttitle = {Transforming scholarship in the archives through handwritten text recognition},\n\turl = {https://www.emerald.com/insight/content/doi/10.1108/JD-07-2018-0114/full/html},\n\tdoi = {10.1108/JD-07-2018-0114},\n\tabstract = {Purpose\n              \n                An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded\n                Transkribus\n                platform. It explains HTR, demonstrates\n                Transkribus\n                , gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues.\n              \n            \n            \n              Design/methodology/approach\n              This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material.\n            \n            \n              Findings\n              \n                Transkribus\n                has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified.\n              \n            \n            \n              Research limitations/implications\n              The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc.\n            \n            \n              Practical implications\n              \n                Only HTR provided via\n                Transkribus\n                is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field.\n              \n            \n            \n              Social implications\n              The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals.\n            \n            \n              Originality/value\n              This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.},\n\tlanguage = {en},\n\tnumber = {5},\n\turldate = {2020-01-02},\n\tjournal = {Journal of Documentation},\n\tauthor = {Muehlberger, Guenter and Seaward, Louise and Terras, Melissa and Ares Oliveira, Sofia and Bosch, Vicente and Bryan, Maximilian and Colutto, Sebastian and Déjean, Hervé and Diem, Markus and Fiel, Stefan and Gatos, Basilis and Greinoecker, Albert and Grüning, Tobias and Hackl, Guenter and Haukkovaara, Vili and Heyer, Gerhard and Hirvonen, Lauri and Hodel, Tobias and Jokinen, Matti and Kahle, Philip and Kallio, Mario and Kaplan, Frederic and Kleber, Florian and Labahn, Roger and Lang, Eva Maria and Laube, Sören and Leifert, Gundram and Louloudis, Georgios and McNicholl, Rory and Meunier, Jean-Luc and Michael, Johannes and Mühlbauer, Elena and Philipp, Nathanael and Pratikakis, Ioannis and Puigcerver Pérez, Joan and Putz, Hannelore and Retsinas, George and Romero, Verónica and Sablatnig, Robert and Sánchez, Joan Andreu and Schofield, Philip and Sfikas, Giorgos and Sieber, Christian and Stamatopoulos, Nikolaos and Strauß, Tobias and Terbul, Tamara and Toselli, Alejandro Héctor and Ulreich, Berthold and Villegas, Mauricio and Vidal, Enrique and Walcher, Johanna and Weidemann, Max and Wurster, Herbert and Zagoris, Konstantinos},\n\tmonth = sep,\n\tyear = {2019},\n\tpages = {954--976},\n}\n\n
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\n Purpose An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded Transkribus platform. It explains HTR, demonstrates Transkribus , gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues. Design/methodology/approach This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material. Findings Transkribus has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified. Research limitations/implications The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc. Practical implications Only HTR provided via Transkribus is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field. Social implications The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals. Originality/value This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.\n
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\n  \n Michael, J.\n \n \n (2)\n \n \n
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\n \n\n \n \n \n \n \n \n Evaluating Sequence-to-Sequence Models for Handwritten Text Recognition.\n \n \n \n \n\n\n \n Michael, J.; Labahn, R.; Grüning, T.; and Zöllner, J.\n\n\n \n\n\n\n arXiv:1903.07377 [cs]. July 2019.\n arXiv: 1903.07377\n\n\n\n
\n\n\n\n \n \n \"EvaluatingPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
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@article{michael_evaluating_2019,\n\ttitle = {Evaluating {Sequence}-to-{Sequence} {Models} for {Handwritten} {Text} {Recognition}},\n\turl = {http://arxiv.org/abs/1903.07377},\n\tabstract = {Encoder-decoder models have become an effective approach for sequence learning tasks like machine translation, image captioning and speech recognition, but have yet to show competitive results for handwritten text recognition. To this end, we propose an attention-based sequence-to-sequence model. It combines a convolutional neural network as a generic feature extractor with a recurrent neural network to encode both the visual information, as well as the temporal context between characters in the input image, and uses a separate recurrent neural network to decode the actual character sequence. We make experimental comparisons between various attention mechanisms and positional encodings, in order to find an appropriate alignment between the input and output sequence. The model can be trained end-to-end and the optional integration of a hybrid loss allows the encoder to retain an interpretable and usable output, if desired. We achieve competitive results on the IAM and ICFHR2016 READ data sets compared to the state-of-the-art without the use of a language model, and we significantly improve over any recent sequence-to-sequence approaches.},\n\turldate = {2022-01-07},\n\tjournal = {arXiv:1903.07377 [cs]},\n\tauthor = {Michael, Johannes and Labahn, Roger and Grüning, Tobias and Zöllner, Jochen},\n\tmonth = jul,\n\tyear = {2019},\n\tnote = {arXiv: 1903.07377},\n\tkeywords = {Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning},\n}\n\n
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\n Encoder-decoder models have become an effective approach for sequence learning tasks like machine translation, image captioning and speech recognition, but have yet to show competitive results for handwritten text recognition. To this end, we propose an attention-based sequence-to-sequence model. It combines a convolutional neural network as a generic feature extractor with a recurrent neural network to encode both the visual information, as well as the temporal context between characters in the input image, and uses a separate recurrent neural network to decode the actual character sequence. We make experimental comparisons between various attention mechanisms and positional encodings, in order to find an appropriate alignment between the input and output sequence. The model can be trained end-to-end and the optional integration of a hybrid loss allows the encoder to retain an interpretable and usable output, if desired. We achieve competitive results on the IAM and ICFHR2016 READ data sets compared to the state-of-the-art without the use of a language model, and we significantly improve over any recent sequence-to-sequence approaches.\n
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\n \n\n \n \n \n \n \n \n Transforming scholarship in the archives through handwritten text recognition: Transkribus as a case study.\n \n \n \n \n\n\n \n Muehlberger, G.; Seaward, L.; Terras, M.; Ares Oliveira, S.; Bosch, V.; Bryan, M.; Colutto, S.; Déjean, H.; Diem, M.; Fiel, S.; Gatos, B.; Greinoecker, A.; Grüning, T.; Hackl, G.; Haukkovaara, V.; Heyer, G.; Hirvonen, L.; Hodel, T.; Jokinen, M.; Kahle, P.; Kallio, M.; Kaplan, F.; Kleber, F.; Labahn, R.; Lang, E. M.; Laube, S.; Leifert, G.; Louloudis, G.; McNicholl, R.; Meunier, J.; Michael, J.; Mühlbauer, E.; Philipp, N.; Pratikakis, I.; Puigcerver Pérez, J.; Putz, H.; Retsinas, G.; Romero, V.; Sablatnig, R.; Sánchez, J. A.; Schofield, P.; Sfikas, G.; Sieber, C.; Stamatopoulos, N.; Strauß, T.; Terbul, T.; Toselli, A. H.; Ulreich, B.; Villegas, M.; Vidal, E.; Walcher, J.; Weidemann, M.; Wurster, H.; and Zagoris, K.\n\n\n \n\n\n\n Journal of Documentation, 75(5): 954–976. September 2019.\n \n\n\n\n
\n\n\n\n \n \n \"TransformingPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{muehlberger_transforming_2019,\n\ttitle = {Transforming scholarship in the archives through handwritten text recognition: {Transkribus} as a case study},\n\tvolume = {75},\n\tissn = {0022-0418},\n\tshorttitle = {Transforming scholarship in the archives through handwritten text recognition},\n\turl = {https://www.emerald.com/insight/content/doi/10.1108/JD-07-2018-0114/full/html},\n\tdoi = {10.1108/JD-07-2018-0114},\n\tabstract = {Purpose\n              \n                An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded\n                Transkribus\n                platform. It explains HTR, demonstrates\n                Transkribus\n                , gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues.\n              \n            \n            \n              Design/methodology/approach\n              This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material.\n            \n            \n              Findings\n              \n                Transkribus\n                has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified.\n              \n            \n            \n              Research limitations/implications\n              The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc.\n            \n            \n              Practical implications\n              \n                Only HTR provided via\n                Transkribus\n                is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field.\n              \n            \n            \n              Social implications\n              The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals.\n            \n            \n              Originality/value\n              This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.},\n\tlanguage = {en},\n\tnumber = {5},\n\turldate = {2020-01-02},\n\tjournal = {Journal of Documentation},\n\tauthor = {Muehlberger, Guenter and Seaward, Louise and Terras, Melissa and Ares Oliveira, Sofia and Bosch, Vicente and Bryan, Maximilian and Colutto, Sebastian and Déjean, Hervé and Diem, Markus and Fiel, Stefan and Gatos, Basilis and Greinoecker, Albert and Grüning, Tobias and Hackl, Guenter and Haukkovaara, Vili and Heyer, Gerhard and Hirvonen, Lauri and Hodel, Tobias and Jokinen, Matti and Kahle, Philip and Kallio, Mario and Kaplan, Frederic and Kleber, Florian and Labahn, Roger and Lang, Eva Maria and Laube, Sören and Leifert, Gundram and Louloudis, Georgios and McNicholl, Rory and Meunier, Jean-Luc and Michael, Johannes and Mühlbauer, Elena and Philipp, Nathanael and Pratikakis, Ioannis and Puigcerver Pérez, Joan and Putz, Hannelore and Retsinas, George and Romero, Verónica and Sablatnig, Robert and Sánchez, Joan Andreu and Schofield, Philip and Sfikas, Giorgos and Sieber, Christian and Stamatopoulos, Nikolaos and Strauß, Tobias and Terbul, Tamara and Toselli, Alejandro Héctor and Ulreich, Berthold and Villegas, Mauricio and Vidal, Enrique and Walcher, Johanna and Weidemann, Max and Wurster, Herbert and Zagoris, Konstantinos},\n\tmonth = sep,\n\tyear = {2019},\n\tpages = {954--976},\n}\n\n
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\n Purpose An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded Transkribus platform. It explains HTR, demonstrates Transkribus , gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues. Design/methodology/approach This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material. Findings Transkribus has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified. Research limitations/implications The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc. Practical implications Only HTR provided via Transkribus is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field. Social implications The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals. Originality/value This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.\n
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\n  \n Milivojević, Z.\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Classification of the Scripts in Medieval Documents from Balkan Region by Run-Length Texture Analysis.\n \n \n \n \n\n\n \n Brodić, D.; Amelio, A.; and Milivojević, Z. N.\n\n\n \n\n\n\n In Arik, S.; Huang, T.; Lai, W. K.; and Liu, Q., editor(s), Neural Information Processing, volume 9489, pages 442–450. Springer International Publishing, Cham, 2015.\n \n\n\n\n
\n\n\n\n \n \n \"ClassificationPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@incollection{arik_classification_2015,\n\taddress = {Cham},\n\ttitle = {Classification of the {Scripts} in {Medieval} {Documents} from {Balkan} {Region} by {Run}-{Length} {Texture} {Analysis}},\n\tvolume = {9489},\n\tisbn = {978-3-319-26531-5 978-3-319-26532-2},\n\turl = {http://link.springer.com/10.1007/978-3-319-26532-2_48},\n\turldate = {2018-08-14},\n\tbooktitle = {Neural {Information} {Processing}},\n\tpublisher = {Springer International Publishing},\n\tauthor = {Brodić, Darko and Amelio, Alessia and Milivojević, Zoran N.},\n\teditor = {Arik, Sabri and Huang, Tingwen and Lai, Weng Kin and Liu, Qingshan},\n\tyear = {2015},\n\tdoi = {10.1007/978-3-319-26532-2_48},\n\tpages = {442--450},\n}\n\n
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\n  \n Miller, L.\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Improving learning of computational thinking using creative thinking exercises in CS-1 computer science courses.\n \n \n \n \n\n\n \n Miller, L. D.; Soh, L.; Chiriacescu, V.; Ingraham, E.; Shell, D. F.; Ramsay, S.; and Hazley, M. P.\n\n\n \n\n\n\n In 2013 IEEE Frontiers in Education Conference (FIE), pages 1426–1432, Oklahoma City, OK, USA, October 2013. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"ImprovingPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{miller_improving_2013,\n\taddress = {Oklahoma City, OK, USA},\n\ttitle = {Improving learning of computational thinking using creative thinking exercises in {CS}-1 computer science courses},\n\tisbn = {978-1-4673-5261-1},\n\turl = {http://ieeexplore.ieee.org/document/6685067/},\n\tdoi = {10.1109/FIE.2013.6685067},\n\turldate = {2020-01-14},\n\tbooktitle = {2013 {IEEE} {Frontiers} in {Education} {Conference} ({FIE})},\n\tpublisher = {IEEE},\n\tauthor = {Miller, L. Dee and Soh, Leen-Kiat and Chiriacescu, Vlad and Ingraham, Elizabeth and Shell, Duane F. and Ramsay, Stephen and Hazley, Melissa Patterson},\n\tmonth = oct,\n\tyear = {2013},\n\tpages = {1426--1432},\n}\n\n
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\n  \n Moranville, Y.\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Which DH Tools Are Actually Used in Research?.\n \n \n \n \n\n\n \n Barbot, L.; Fischer, F.; Moranville, Y.; and Pozdniakov, I.\n\n\n \n\n\n\n June 2019.\n \n\n\n\n
\n\n\n\n \n \n \"WhichPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@misc{barbot_which_2019,\n\ttitle = {Which {DH} {Tools} {Are} {Actually} {Used} in {Research}?},\n\turl = {https://weltliteratur.net/dh-tools-used-in-research/},\n\turldate = {2020-02-21},\n\tauthor = {Barbot, Laure and Fischer, Frank and Moranville, Yoann and Pozdniakov, Ivan},\n\tmonth = jun,\n\tyear = {2019},\n}\n\n
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\n  \n Muehlberger, G.\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Transforming scholarship in the archives through handwritten text recognition: Transkribus as a case study.\n \n \n \n \n\n\n \n Muehlberger, G.; Seaward, L.; Terras, M.; Ares Oliveira, S.; Bosch, V.; Bryan, M.; Colutto, S.; Déjean, H.; Diem, M.; Fiel, S.; Gatos, B.; Greinoecker, A.; Grüning, T.; Hackl, G.; Haukkovaara, V.; Heyer, G.; Hirvonen, L.; Hodel, T.; Jokinen, M.; Kahle, P.; Kallio, M.; Kaplan, F.; Kleber, F.; Labahn, R.; Lang, E. M.; Laube, S.; Leifert, G.; Louloudis, G.; McNicholl, R.; Meunier, J.; Michael, J.; Mühlbauer, E.; Philipp, N.; Pratikakis, I.; Puigcerver Pérez, J.; Putz, H.; Retsinas, G.; Romero, V.; Sablatnig, R.; Sánchez, J. A.; Schofield, P.; Sfikas, G.; Sieber, C.; Stamatopoulos, N.; Strauß, T.; Terbul, T.; Toselli, A. H.; Ulreich, B.; Villegas, M.; Vidal, E.; Walcher, J.; Weidemann, M.; Wurster, H.; and Zagoris, K.\n\n\n \n\n\n\n Journal of Documentation, 75(5): 954–976. September 2019.\n \n\n\n\n
\n\n\n\n \n \n \"TransformingPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{muehlberger_transforming_2019,\n\ttitle = {Transforming scholarship in the archives through handwritten text recognition: {Transkribus} as a case study},\n\tvolume = {75},\n\tissn = {0022-0418},\n\tshorttitle = {Transforming scholarship in the archives through handwritten text recognition},\n\turl = {https://www.emerald.com/insight/content/doi/10.1108/JD-07-2018-0114/full/html},\n\tdoi = {10.1108/JD-07-2018-0114},\n\tabstract = {Purpose\n              \n                An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded\n                Transkribus\n                platform. It explains HTR, demonstrates\n                Transkribus\n                , gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues.\n              \n            \n            \n              Design/methodology/approach\n              This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material.\n            \n            \n              Findings\n              \n                Transkribus\n                has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified.\n              \n            \n            \n              Research limitations/implications\n              The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc.\n            \n            \n              Practical implications\n              \n                Only HTR provided via\n                Transkribus\n                is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field.\n              \n            \n            \n              Social implications\n              The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals.\n            \n            \n              Originality/value\n              This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.},\n\tlanguage = {en},\n\tnumber = {5},\n\turldate = {2020-01-02},\n\tjournal = {Journal of Documentation},\n\tauthor = {Muehlberger, Guenter and Seaward, Louise and Terras, Melissa and Ares Oliveira, Sofia and Bosch, Vicente and Bryan, Maximilian and Colutto, Sebastian and Déjean, Hervé and Diem, Markus and Fiel, Stefan and Gatos, Basilis and Greinoecker, Albert and Grüning, Tobias and Hackl, Guenter and Haukkovaara, Vili and Heyer, Gerhard and Hirvonen, Lauri and Hodel, Tobias and Jokinen, Matti and Kahle, Philip and Kallio, Mario and Kaplan, Frederic and Kleber, Florian and Labahn, Roger and Lang, Eva Maria and Laube, Sören and Leifert, Gundram and Louloudis, Georgios and McNicholl, Rory and Meunier, Jean-Luc and Michael, Johannes and Mühlbauer, Elena and Philipp, Nathanael and Pratikakis, Ioannis and Puigcerver Pérez, Joan and Putz, Hannelore and Retsinas, George and Romero, Verónica and Sablatnig, Robert and Sánchez, Joan Andreu and Schofield, Philip and Sfikas, Giorgos and Sieber, Christian and Stamatopoulos, Nikolaos and Strauß, Tobias and Terbul, Tamara and Toselli, Alejandro Héctor and Ulreich, Berthold and Villegas, Mauricio and Vidal, Enrique and Walcher, Johanna and Weidemann, Max and Wurster, Herbert and Zagoris, Konstantinos},\n\tmonth = sep,\n\tyear = {2019},\n\tpages = {954--976},\n}\n\n
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\n Purpose An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded Transkribus platform. It explains HTR, demonstrates Transkribus , gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues. Design/methodology/approach This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material. Findings Transkribus has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified. Research limitations/implications The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc. Practical implications Only HTR provided via Transkribus is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field. Social implications The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals. Originality/value This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.\n
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\n  \n Mühlbauer, E.\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Transforming scholarship in the archives through handwritten text recognition: Transkribus as a case study.\n \n \n \n \n\n\n \n Muehlberger, G.; Seaward, L.; Terras, M.; Ares Oliveira, S.; Bosch, V.; Bryan, M.; Colutto, S.; Déjean, H.; Diem, M.; Fiel, S.; Gatos, B.; Greinoecker, A.; Grüning, T.; Hackl, G.; Haukkovaara, V.; Heyer, G.; Hirvonen, L.; Hodel, T.; Jokinen, M.; Kahle, P.; Kallio, M.; Kaplan, F.; Kleber, F.; Labahn, R.; Lang, E. M.; Laube, S.; Leifert, G.; Louloudis, G.; McNicholl, R.; Meunier, J.; Michael, J.; Mühlbauer, E.; Philipp, N.; Pratikakis, I.; Puigcerver Pérez, J.; Putz, H.; Retsinas, G.; Romero, V.; Sablatnig, R.; Sánchez, J. A.; Schofield, P.; Sfikas, G.; Sieber, C.; Stamatopoulos, N.; Strauß, T.; Terbul, T.; Toselli, A. H.; Ulreich, B.; Villegas, M.; Vidal, E.; Walcher, J.; Weidemann, M.; Wurster, H.; and Zagoris, K.\n\n\n \n\n\n\n Journal of Documentation, 75(5): 954–976. September 2019.\n \n\n\n\n
\n\n\n\n \n \n \"TransformingPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{muehlberger_transforming_2019,\n\ttitle = {Transforming scholarship in the archives through handwritten text recognition: {Transkribus} as a case study},\n\tvolume = {75},\n\tissn = {0022-0418},\n\tshorttitle = {Transforming scholarship in the archives through handwritten text recognition},\n\turl = {https://www.emerald.com/insight/content/doi/10.1108/JD-07-2018-0114/full/html},\n\tdoi = {10.1108/JD-07-2018-0114},\n\tabstract = {Purpose\n              \n                An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded\n                Transkribus\n                platform. It explains HTR, demonstrates\n                Transkribus\n                , gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues.\n              \n            \n            \n              Design/methodology/approach\n              This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material.\n            \n            \n              Findings\n              \n                Transkribus\n                has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified.\n              \n            \n            \n              Research limitations/implications\n              The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc.\n            \n            \n              Practical implications\n              \n                Only HTR provided via\n                Transkribus\n                is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field.\n              \n            \n            \n              Social implications\n              The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals.\n            \n            \n              Originality/value\n              This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.},\n\tlanguage = {en},\n\tnumber = {5},\n\turldate = {2020-01-02},\n\tjournal = {Journal of Documentation},\n\tauthor = {Muehlberger, Guenter and Seaward, Louise and Terras, Melissa and Ares Oliveira, Sofia and Bosch, Vicente and Bryan, Maximilian and Colutto, Sebastian and Déjean, Hervé and Diem, Markus and Fiel, Stefan and Gatos, Basilis and Greinoecker, Albert and Grüning, Tobias and Hackl, Guenter and Haukkovaara, Vili and Heyer, Gerhard and Hirvonen, Lauri and Hodel, Tobias and Jokinen, Matti and Kahle, Philip and Kallio, Mario and Kaplan, Frederic and Kleber, Florian and Labahn, Roger and Lang, Eva Maria and Laube, Sören and Leifert, Gundram and Louloudis, Georgios and McNicholl, Rory and Meunier, Jean-Luc and Michael, Johannes and Mühlbauer, Elena and Philipp, Nathanael and Pratikakis, Ioannis and Puigcerver Pérez, Joan and Putz, Hannelore and Retsinas, George and Romero, Verónica and Sablatnig, Robert and Sánchez, Joan Andreu and Schofield, Philip and Sfikas, Giorgos and Sieber, Christian and Stamatopoulos, Nikolaos and Strauß, Tobias and Terbul, Tamara and Toselli, Alejandro Héctor and Ulreich, Berthold and Villegas, Mauricio and Vidal, Enrique and Walcher, Johanna and Weidemann, Max and Wurster, Herbert and Zagoris, Konstantinos},\n\tmonth = sep,\n\tyear = {2019},\n\tpages = {954--976},\n}\n\n
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\n Purpose An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded Transkribus platform. It explains HTR, demonstrates Transkribus , gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues. Design/methodology/approach This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material. Findings Transkribus has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified. Research limitations/implications The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc. Practical implications Only HTR provided via Transkribus is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field. Social implications The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals. Originality/value This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.\n
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\n  \n Mühlberger, G.\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n TranScriptorium: a European Project on Handwritten Text Recognition.\n \n \n \n\n\n \n Sánchez, J.; Mühlberger, G.; Gatos, B.; Schofield, P.; Depuydt, K.; Davis, R.; Vidal, E.; and de Does, J.\n\n\n \n\n\n\n In Marinai, S.; and Marriott, K., editor(s), ACM Symposium on Document Engineering DOCENG, pages 227–228, 2013. ACM\n tex.crossref: conf/doceng/2013\n\n\n\n
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@inproceedings{conf/doceng/SanchezMGSDDVD13,\n\ttitle = {{TranScriptorium}: a {European} {Project} on {Handwritten} {Text} {Recognition}.},\n\tbooktitle = {{ACM} {Symposium} on {Document} {Engineering} {DOCENG}},\n\tpublisher = {ACM},\n\tauthor = {Sánchez, J.A. and Mühlberger, G. and Gatos, B. and Schofield, P. and Depuydt, K. and Davis, R.M. and Vidal, E. and de Does, J.},\n\teditor = {Marinai, Simone and Marriott, Kim},\n\tyear = {2013},\n\tnote = {tex.crossref: conf/doceng/2013},\n\tpages = {227--228},\n}\n\n
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\n  \n Mühlberger, Gü\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n Handwritten Text Recognition (HTR) of Historical Documents as a Shared Task for Archivists, Computer Scientists and Humanities Scholars: The Model of a Transcription & Recognition Platform (TRP).\n \n \n \n\n\n \n Mühlberger, Günter; Kahle, Philip; and Colutto, Sebastian\n\n\n \n\n\n\n HistoInformatics 2014. .\n \n\n\n\n
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@article{muhlberger_gunter_handwritten_nodate,\n\ttitle = {Handwritten {Text} {Recognition} ({HTR}) of {Historical} {Documents} as a {Shared} {Task} for {Archivists}, {Computer} {Scientists} and {Humanities} {Scholars}: {The} {Model} of a {Transcription} \\& {Recognition} {Platform} ({TRP}).},\n\tjournal = {HistoInformatics 2014},\n\tauthor = {{Mühlberger, Günter} and {Kahle, Philip} and {Colutto, Sebastian}},\n}\n\n
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\n  \n Pagel, S.\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Usability-Analyse von digitalen Tools und Methoden in den Geisteswissenschaften.\n \n \n \n \n\n\n \n Simon, T.; Dolan, J.; Schmitt, A.; and Pagel, S.\n\n\n \n\n\n\n Gesellschaft für Informatik e.V., 2019.\n \n\n\n\n
\n\n\n\n \n \n \"Usability-AnalysePaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@book{simon_usability-analyse_2019,\n\ttitle = {Usability-{Analyse} von digitalen {Tools} und {Methoden} in den {Geisteswissenschaften}},\n\tisbn = {978-3-88579-689-3},\n\turl = {http://dl.gi.de/handle/20.500.12116/25043},\n\tabstract = {Fehlende Usability ist ein häufig auftretendes Problem von Tools aus dem geisteswissenschaftlicher Forschungskontext. In dieser Studie werden Tools, die im Editionsprozess eingesetzt werden, systematisch untersucht. Dabei wird auf einen Methodenmix aus Eyetracking und Gruppendiskussionen gesetzt. Die bisherigen Erkenntnisse geben einen Eindruck über typische Probleme, methodische Auswertungsmöglichkeiten und konkrete Empfehlungen für Verbesserungen der Tools.},\n\tlanguage = {de},\n\turldate = {2019-10-10},\n\tpublisher = {Gesellschaft für Informatik e.V.},\n\tauthor = {Simon, Tobias and Dolan, Jana and Schmitt, Alexander and Pagel, Sven},\n\tyear = {2019},\n\tdoi = {10.18420/inf2019_ws11},\n}\n
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\n Fehlende Usability ist ein häufig auftretendes Problem von Tools aus dem geisteswissenschaftlicher Forschungskontext. In dieser Studie werden Tools, die im Editionsprozess eingesetzt werden, systematisch untersucht. Dabei wird auf einen Methodenmix aus Eyetracking und Gruppendiskussionen gesetzt. Die bisherigen Erkenntnisse geben einen Eindruck über typische Probleme, methodische Auswertungsmöglichkeiten und konkrete Empfehlungen für Verbesserungen der Tools.\n
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\n  \n Peukert, H.\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Is it about Human(itie)s? Experiences from Software Projects across three Faculties.\n \n \n \n \n\n\n \n Peukert, H.\n\n\n \n\n\n\n Gesellschaft für Informatik e.V., 2019.\n \n\n\n\n
\n\n\n\n \n \n \"IsPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@book{peukert_is_2019,\n\ttitle = {Is it about {Human}(itie)s? {Experiences} from {Software} {Projects} across three {Faculties}},\n\tisbn = {978-3-88579-689-3},\n\tshorttitle = {Is it about {Human}(itie)s?},\n\turl = {http://dl.gi.de/handle/20.500.12116/25048},\n\tabstract = {Considering the experience with software development in research projects in three different faculties, it is argued here that the issue of underspecification and finding out what is really wanted is not restricted to the Humanities. Rather, it occurs in Science and Social Science seemingly at the same ratio. However, in absence of representational data, statements at which exact shares the phenomenon really occurs, lead up the garden path. Hence, the question is raised whether the focus of software development in the Humanities should shift to human per se describing the fact that underspecification is a human trait of complex planning and problem solving behavior, but independent from the faculty’s epistemology. And possibly it comes to the fore in science more bluntly and it is particularly apparent in the Humanities, i.e. less blended. In fact, any specific account of software development in the Humanities is misleading because the focus on the Humanities blends the hermeneutics inherent in scientific work in general.},\n\tlanguage = {en},\n\turldate = {2019-10-10},\n\tpublisher = {Gesellschaft für Informatik e.V.},\n\tauthor = {Peukert, Hagen},\n\tyear = {2019},\n\tdoi = {10.18420/inf2019_ws16},\n}\n\n
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\n Considering the experience with software development in research projects in three different faculties, it is argued here that the issue of underspecification and finding out what is really wanted is not restricted to the Humanities. Rather, it occurs in Science and Social Science seemingly at the same ratio. However, in absence of representational data, statements at which exact shares the phenomenon really occurs, lead up the garden path. Hence, the question is raised whether the focus of software development in the Humanities should shift to human per se describing the fact that underspecification is a human trait of complex planning and problem solving behavior, but independent from the faculty’s epistemology. And possibly it comes to the fore in science more bluntly and it is particularly apparent in the Humanities, i.e. less blended. In fact, any specific account of software development in the Humanities is misleading because the focus on the Humanities blends the hermeneutics inherent in scientific work in general.\n
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\n  \n Philipp, N.\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Transforming scholarship in the archives through handwritten text recognition: Transkribus as a case study.\n \n \n \n \n\n\n \n Muehlberger, G.; Seaward, L.; Terras, M.; Ares Oliveira, S.; Bosch, V.; Bryan, M.; Colutto, S.; Déjean, H.; Diem, M.; Fiel, S.; Gatos, B.; Greinoecker, A.; Grüning, T.; Hackl, G.; Haukkovaara, V.; Heyer, G.; Hirvonen, L.; Hodel, T.; Jokinen, M.; Kahle, P.; Kallio, M.; Kaplan, F.; Kleber, F.; Labahn, R.; Lang, E. M.; Laube, S.; Leifert, G.; Louloudis, G.; McNicholl, R.; Meunier, J.; Michael, J.; Mühlbauer, E.; Philipp, N.; Pratikakis, I.; Puigcerver Pérez, J.; Putz, H.; Retsinas, G.; Romero, V.; Sablatnig, R.; Sánchez, J. A.; Schofield, P.; Sfikas, G.; Sieber, C.; Stamatopoulos, N.; Strauß, T.; Terbul, T.; Toselli, A. H.; Ulreich, B.; Villegas, M.; Vidal, E.; Walcher, J.; Weidemann, M.; Wurster, H.; and Zagoris, K.\n\n\n \n\n\n\n Journal of Documentation, 75(5): 954–976. September 2019.\n \n\n\n\n
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@article{muehlberger_transforming_2019,\n\ttitle = {Transforming scholarship in the archives through handwritten text recognition: {Transkribus} as a case study},\n\tvolume = {75},\n\tissn = {0022-0418},\n\tshorttitle = {Transforming scholarship in the archives through handwritten text recognition},\n\turl = {https://www.emerald.com/insight/content/doi/10.1108/JD-07-2018-0114/full/html},\n\tdoi = {10.1108/JD-07-2018-0114},\n\tabstract = {Purpose\n              \n                An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded\n                Transkribus\n                platform. It explains HTR, demonstrates\n                Transkribus\n                , gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues.\n              \n            \n            \n              Design/methodology/approach\n              This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material.\n            \n            \n              Findings\n              \n                Transkribus\n                has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified.\n              \n            \n            \n              Research limitations/implications\n              The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc.\n            \n            \n              Practical implications\n              \n                Only HTR provided via\n                Transkribus\n                is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field.\n              \n            \n            \n              Social implications\n              The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals.\n            \n            \n              Originality/value\n              This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.},\n\tlanguage = {en},\n\tnumber = {5},\n\turldate = {2020-01-02},\n\tjournal = {Journal of Documentation},\n\tauthor = {Muehlberger, Guenter and Seaward, Louise and Terras, Melissa and Ares Oliveira, Sofia and Bosch, Vicente and Bryan, Maximilian and Colutto, Sebastian and Déjean, Hervé and Diem, Markus and Fiel, Stefan and Gatos, Basilis and Greinoecker, Albert and Grüning, Tobias and Hackl, Guenter and Haukkovaara, Vili and Heyer, Gerhard and Hirvonen, Lauri and Hodel, Tobias and Jokinen, Matti and Kahle, Philip and Kallio, Mario and Kaplan, Frederic and Kleber, Florian and Labahn, Roger and Lang, Eva Maria and Laube, Sören and Leifert, Gundram and Louloudis, Georgios and McNicholl, Rory and Meunier, Jean-Luc and Michael, Johannes and Mühlbauer, Elena and Philipp, Nathanael and Pratikakis, Ioannis and Puigcerver Pérez, Joan and Putz, Hannelore and Retsinas, George and Romero, Verónica and Sablatnig, Robert and Sánchez, Joan Andreu and Schofield, Philip and Sfikas, Giorgos and Sieber, Christian and Stamatopoulos, Nikolaos and Strauß, Tobias and Terbul, Tamara and Toselli, Alejandro Héctor and Ulreich, Berthold and Villegas, Mauricio and Vidal, Enrique and Walcher, Johanna and Weidemann, Max and Wurster, Herbert and Zagoris, Konstantinos},\n\tmonth = sep,\n\tyear = {2019},\n\tpages = {954--976},\n}\n\n
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\n Purpose An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded Transkribus platform. It explains HTR, demonstrates Transkribus , gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues. Design/methodology/approach This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material. Findings Transkribus has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified. Research limitations/implications The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc. Practical implications Only HTR provided via Transkribus is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field. Social implications The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals. Originality/value This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.\n
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\n  \n Posner, M.\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n How did they make that? – Miriam Posner's Blog.\n \n \n \n \n\n\n \n Posner, M.\n\n\n \n\n\n\n 2013.\n \n\n\n\n
\n\n\n\n \n \n \"HowPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@misc{posner_how_2013,\n\ttitle = {How did they make that? – {Miriam} {Posner}'s {Blog}},\n\turl = {http://miriamposner.com/blog/how-did-they-make-that/},\n\tlanguage = {en-US},\n\turldate = {2020-02-18},\n\tjournal = {Miriam Posner's Blog.  Digital humanities, data, labor, and information},\n\tauthor = {Posner, Miriam},\n\tyear = {2013},\n}\n\n
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\n  \n Pozdniakov, I.\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Which DH Tools Are Actually Used in Research?.\n \n \n \n \n\n\n \n Barbot, L.; Fischer, F.; Moranville, Y.; and Pozdniakov, I.\n\n\n \n\n\n\n June 2019.\n \n\n\n\n
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@misc{barbot_which_2019,\n\ttitle = {Which {DH} {Tools} {Are} {Actually} {Used} in {Research}?},\n\turl = {https://weltliteratur.net/dh-tools-used-in-research/},\n\turldate = {2020-02-21},\n\tauthor = {Barbot, Laure and Fischer, Frank and Moranville, Yoann and Pozdniakov, Ivan},\n\tmonth = jun,\n\tyear = {2019},\n}\n\n
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\n  \n Pratikakis, I.\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Transforming scholarship in the archives through handwritten text recognition: Transkribus as a case study.\n \n \n \n \n\n\n \n Muehlberger, G.; Seaward, L.; Terras, M.; Ares Oliveira, S.; Bosch, V.; Bryan, M.; Colutto, S.; Déjean, H.; Diem, M.; Fiel, S.; Gatos, B.; Greinoecker, A.; Grüning, T.; Hackl, G.; Haukkovaara, V.; Heyer, G.; Hirvonen, L.; Hodel, T.; Jokinen, M.; Kahle, P.; Kallio, M.; Kaplan, F.; Kleber, F.; Labahn, R.; Lang, E. M.; Laube, S.; Leifert, G.; Louloudis, G.; McNicholl, R.; Meunier, J.; Michael, J.; Mühlbauer, E.; Philipp, N.; Pratikakis, I.; Puigcerver Pérez, J.; Putz, H.; Retsinas, G.; Romero, V.; Sablatnig, R.; Sánchez, J. A.; Schofield, P.; Sfikas, G.; Sieber, C.; Stamatopoulos, N.; Strauß, T.; Terbul, T.; Toselli, A. H.; Ulreich, B.; Villegas, M.; Vidal, E.; Walcher, J.; Weidemann, M.; Wurster, H.; and Zagoris, K.\n\n\n \n\n\n\n Journal of Documentation, 75(5): 954–976. September 2019.\n \n\n\n\n
\n\n\n\n \n \n \"TransformingPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{muehlberger_transforming_2019,\n\ttitle = {Transforming scholarship in the archives through handwritten text recognition: {Transkribus} as a case study},\n\tvolume = {75},\n\tissn = {0022-0418},\n\tshorttitle = {Transforming scholarship in the archives through handwritten text recognition},\n\turl = {https://www.emerald.com/insight/content/doi/10.1108/JD-07-2018-0114/full/html},\n\tdoi = {10.1108/JD-07-2018-0114},\n\tabstract = {Purpose\n              \n                An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded\n                Transkribus\n                platform. It explains HTR, demonstrates\n                Transkribus\n                , gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues.\n              \n            \n            \n              Design/methodology/approach\n              This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material.\n            \n            \n              Findings\n              \n                Transkribus\n                has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified.\n              \n            \n            \n              Research limitations/implications\n              The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc.\n            \n            \n              Practical implications\n              \n                Only HTR provided via\n                Transkribus\n                is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field.\n              \n            \n            \n              Social implications\n              The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals.\n            \n            \n              Originality/value\n              This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.},\n\tlanguage = {en},\n\tnumber = {5},\n\turldate = {2020-01-02},\n\tjournal = {Journal of Documentation},\n\tauthor = {Muehlberger, Guenter and Seaward, Louise and Terras, Melissa and Ares Oliveira, Sofia and Bosch, Vicente and Bryan, Maximilian and Colutto, Sebastian and Déjean, Hervé and Diem, Markus and Fiel, Stefan and Gatos, Basilis and Greinoecker, Albert and Grüning, Tobias and Hackl, Guenter and Haukkovaara, Vili and Heyer, Gerhard and Hirvonen, Lauri and Hodel, Tobias and Jokinen, Matti and Kahle, Philip and Kallio, Mario and Kaplan, Frederic and Kleber, Florian and Labahn, Roger and Lang, Eva Maria and Laube, Sören and Leifert, Gundram and Louloudis, Georgios and McNicholl, Rory and Meunier, Jean-Luc and Michael, Johannes and Mühlbauer, Elena and Philipp, Nathanael and Pratikakis, Ioannis and Puigcerver Pérez, Joan and Putz, Hannelore and Retsinas, George and Romero, Verónica and Sablatnig, Robert and Sánchez, Joan Andreu and Schofield, Philip and Sfikas, Giorgos and Sieber, Christian and Stamatopoulos, Nikolaos and Strauß, Tobias and Terbul, Tamara and Toselli, Alejandro Héctor and Ulreich, Berthold and Villegas, Mauricio and Vidal, Enrique and Walcher, Johanna and Weidemann, Max and Wurster, Herbert and Zagoris, Konstantinos},\n\tmonth = sep,\n\tyear = {2019},\n\tpages = {954--976},\n}\n\n
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\n Purpose An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded Transkribus platform. It explains HTR, demonstrates Transkribus , gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues. Design/methodology/approach This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material. Findings Transkribus has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified. Research limitations/implications The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc. Practical implications Only HTR provided via Transkribus is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field. Social implications The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals. Originality/value This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.\n
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\n  \n Puigcerver Pérez, J.\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Transforming scholarship in the archives through handwritten text recognition: Transkribus as a case study.\n \n \n \n \n\n\n \n Muehlberger, G.; Seaward, L.; Terras, M.; Ares Oliveira, S.; Bosch, V.; Bryan, M.; Colutto, S.; Déjean, H.; Diem, M.; Fiel, S.; Gatos, B.; Greinoecker, A.; Grüning, T.; Hackl, G.; Haukkovaara, V.; Heyer, G.; Hirvonen, L.; Hodel, T.; Jokinen, M.; Kahle, P.; Kallio, M.; Kaplan, F.; Kleber, F.; Labahn, R.; Lang, E. M.; Laube, S.; Leifert, G.; Louloudis, G.; McNicholl, R.; Meunier, J.; Michael, J.; Mühlbauer, E.; Philipp, N.; Pratikakis, I.; Puigcerver Pérez, J.; Putz, H.; Retsinas, G.; Romero, V.; Sablatnig, R.; Sánchez, J. A.; Schofield, P.; Sfikas, G.; Sieber, C.; Stamatopoulos, N.; Strauß, T.; Terbul, T.; Toselli, A. H.; Ulreich, B.; Villegas, M.; Vidal, E.; Walcher, J.; Weidemann, M.; Wurster, H.; and Zagoris, K.\n\n\n \n\n\n\n Journal of Documentation, 75(5): 954–976. September 2019.\n \n\n\n\n
\n\n\n\n \n \n \"TransformingPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{muehlberger_transforming_2019,\n\ttitle = {Transforming scholarship in the archives through handwritten text recognition: {Transkribus} as a case study},\n\tvolume = {75},\n\tissn = {0022-0418},\n\tshorttitle = {Transforming scholarship in the archives through handwritten text recognition},\n\turl = {https://www.emerald.com/insight/content/doi/10.1108/JD-07-2018-0114/full/html},\n\tdoi = {10.1108/JD-07-2018-0114},\n\tabstract = {Purpose\n              \n                An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded\n                Transkribus\n                platform. It explains HTR, demonstrates\n                Transkribus\n                , gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues.\n              \n            \n            \n              Design/methodology/approach\n              This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material.\n            \n            \n              Findings\n              \n                Transkribus\n                has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified.\n              \n            \n            \n              Research limitations/implications\n              The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc.\n            \n            \n              Practical implications\n              \n                Only HTR provided via\n                Transkribus\n                is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field.\n              \n            \n            \n              Social implications\n              The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals.\n            \n            \n              Originality/value\n              This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.},\n\tlanguage = {en},\n\tnumber = {5},\n\turldate = {2020-01-02},\n\tjournal = {Journal of Documentation},\n\tauthor = {Muehlberger, Guenter and Seaward, Louise and Terras, Melissa and Ares Oliveira, Sofia and Bosch, Vicente and Bryan, Maximilian and Colutto, Sebastian and Déjean, Hervé and Diem, Markus and Fiel, Stefan and Gatos, Basilis and Greinoecker, Albert and Grüning, Tobias and Hackl, Guenter and Haukkovaara, Vili and Heyer, Gerhard and Hirvonen, Lauri and Hodel, Tobias and Jokinen, Matti and Kahle, Philip and Kallio, Mario and Kaplan, Frederic and Kleber, Florian and Labahn, Roger and Lang, Eva Maria and Laube, Sören and Leifert, Gundram and Louloudis, Georgios and McNicholl, Rory and Meunier, Jean-Luc and Michael, Johannes and Mühlbauer, Elena and Philipp, Nathanael and Pratikakis, Ioannis and Puigcerver Pérez, Joan and Putz, Hannelore and Retsinas, George and Romero, Verónica and Sablatnig, Robert and Sánchez, Joan Andreu and Schofield, Philip and Sfikas, Giorgos and Sieber, Christian and Stamatopoulos, Nikolaos and Strauß, Tobias and Terbul, Tamara and Toselli, Alejandro Héctor and Ulreich, Berthold and Villegas, Mauricio and Vidal, Enrique and Walcher, Johanna and Weidemann, Max and Wurster, Herbert and Zagoris, Konstantinos},\n\tmonth = sep,\n\tyear = {2019},\n\tpages = {954--976},\n}\n\n
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\n Purpose An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded Transkribus platform. It explains HTR, demonstrates Transkribus , gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues. Design/methodology/approach This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material. Findings Transkribus has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified. Research limitations/implications The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc. Practical implications Only HTR provided via Transkribus is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field. Social implications The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals. Originality/value This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.\n
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\n  \n Putz, H.\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Transforming scholarship in the archives through handwritten text recognition: Transkribus as a case study.\n \n \n \n \n\n\n \n Muehlberger, G.; Seaward, L.; Terras, M.; Ares Oliveira, S.; Bosch, V.; Bryan, M.; Colutto, S.; Déjean, H.; Diem, M.; Fiel, S.; Gatos, B.; Greinoecker, A.; Grüning, T.; Hackl, G.; Haukkovaara, V.; Heyer, G.; Hirvonen, L.; Hodel, T.; Jokinen, M.; Kahle, P.; Kallio, M.; Kaplan, F.; Kleber, F.; Labahn, R.; Lang, E. M.; Laube, S.; Leifert, G.; Louloudis, G.; McNicholl, R.; Meunier, J.; Michael, J.; Mühlbauer, E.; Philipp, N.; Pratikakis, I.; Puigcerver Pérez, J.; Putz, H.; Retsinas, G.; Romero, V.; Sablatnig, R.; Sánchez, J. A.; Schofield, P.; Sfikas, G.; Sieber, C.; Stamatopoulos, N.; Strauß, T.; Terbul, T.; Toselli, A. H.; Ulreich, B.; Villegas, M.; Vidal, E.; Walcher, J.; Weidemann, M.; Wurster, H.; and Zagoris, K.\n\n\n \n\n\n\n Journal of Documentation, 75(5): 954–976. September 2019.\n \n\n\n\n
\n\n\n\n \n \n \"TransformingPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{muehlberger_transforming_2019,\n\ttitle = {Transforming scholarship in the archives through handwritten text recognition: {Transkribus} as a case study},\n\tvolume = {75},\n\tissn = {0022-0418},\n\tshorttitle = {Transforming scholarship in the archives through handwritten text recognition},\n\turl = {https://www.emerald.com/insight/content/doi/10.1108/JD-07-2018-0114/full/html},\n\tdoi = {10.1108/JD-07-2018-0114},\n\tabstract = {Purpose\n              \n                An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded\n                Transkribus\n                platform. It explains HTR, demonstrates\n                Transkribus\n                , gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues.\n              \n            \n            \n              Design/methodology/approach\n              This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material.\n            \n            \n              Findings\n              \n                Transkribus\n                has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified.\n              \n            \n            \n              Research limitations/implications\n              The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc.\n            \n            \n              Practical implications\n              \n                Only HTR provided via\n                Transkribus\n                is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field.\n              \n            \n            \n              Social implications\n              The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals.\n            \n            \n              Originality/value\n              This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.},\n\tlanguage = {en},\n\tnumber = {5},\n\turldate = {2020-01-02},\n\tjournal = {Journal of Documentation},\n\tauthor = {Muehlberger, Guenter and Seaward, Louise and Terras, Melissa and Ares Oliveira, Sofia and Bosch, Vicente and Bryan, Maximilian and Colutto, Sebastian and Déjean, Hervé and Diem, Markus and Fiel, Stefan and Gatos, Basilis and Greinoecker, Albert and Grüning, Tobias and Hackl, Guenter and Haukkovaara, Vili and Heyer, Gerhard and Hirvonen, Lauri and Hodel, Tobias and Jokinen, Matti and Kahle, Philip and Kallio, Mario and Kaplan, Frederic and Kleber, Florian and Labahn, Roger and Lang, Eva Maria and Laube, Sören and Leifert, Gundram and Louloudis, Georgios and McNicholl, Rory and Meunier, Jean-Luc and Michael, Johannes and Mühlbauer, Elena and Philipp, Nathanael and Pratikakis, Ioannis and Puigcerver Pérez, Joan and Putz, Hannelore and Retsinas, George and Romero, Verónica and Sablatnig, Robert and Sánchez, Joan Andreu and Schofield, Philip and Sfikas, Giorgos and Sieber, Christian and Stamatopoulos, Nikolaos and Strauß, Tobias and Terbul, Tamara and Toselli, Alejandro Héctor and Ulreich, Berthold and Villegas, Mauricio and Vidal, Enrique and Walcher, Johanna and Weidemann, Max and Wurster, Herbert and Zagoris, Konstantinos},\n\tmonth = sep,\n\tyear = {2019},\n\tpages = {954--976},\n}\n\n
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\n Purpose An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded Transkribus platform. It explains HTR, demonstrates Transkribus , gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues. Design/methodology/approach This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material. Findings Transkribus has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified. Research limitations/implications The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc. Practical implications Only HTR provided via Transkribus is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field. Social implications The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals. Originality/value This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.\n
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\n  \n Raemy, J.\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n The International Image Interoperability Framework (IIIF): Raising Awareness of the User Benefits for Scholarly Editions.\n \n \n \n \n\n\n \n Raemy, J. A.\n\n\n \n\n\n\n Ph.D. Thesis, Haute école de gestion de Genève, Genève, 2017.\n \n\n\n\n
\n\n\n\n \n \n \"ThePaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@phdthesis{raemy_international_2017,\n\taddress = {Genève},\n\ttype = {Bachelor thesis},\n\ttitle = {The {International} {Image} {Interoperability} {Framework} ({IIIF}): {Raising} {Awareness} of the {User} {Benefits} for {Scholarly} {Editions}},\n\tshorttitle = {The {International} {Image} {Interoperability} {Framework} ({IIIF})},\n\turl = {https://doc.rero.ch/record/306498},\n\tabstract = {The International Image Interoperability Framework (IIIF), an initiative born in 2011, defines a set of common application programming interfaces (APIs) to retrieve, display, manipulate, compare, and annotate digitised and born-digital images. Upon implementation, these technical specifications have offered institutions and end users alike new possibilities. In Switzerland, only a handful of organizations and projects have collaborated with the IIIF community. For instance, e-codices, the Virtual Manuscript Library, implemented in December 2014 the two core IIIF APIs (Image API and Presentation API). Since then, no other Swiss collection has fully complied with the IIIF specifications to make true interoperability possible. The NIE-INE project, overseen by the University of Basel and funded by Swissuniversities, has aimed to build a national platform for scientific editions. There is a shared rationale between NIE-INE and IIIF who both advocate flexible and consistent technical architecture as well as providing high-quality user experience (UX) in their content delivery. Remote and in-person usability tests were conducted on the Universal Viewer (UV) and Mirador, two IIIF-compliant image viewers deployed by many IIIF implementers, in order to assess their satisfaction and efficiency as well as their perceived usability. NIE-INE was the target audience of the usability testing with a view to evaluating how scholarly research and the wider scientific community could benefit from leveraging IIIF-compliant technology. To conclude this bachelor’s thesis, a set of recommendations, based on the usability testing results and throughout this assignment, was drawn for the developing teams of both viewers, the IIIF community and the NIE-INE team members. Raemy, Julien Antoine; Schneider, René},\n\tlanguage = {en},\n\turldate = {2020-12-14},\n\tschool = {Haute école de gestion de Genève},\n\tauthor = {Raemy, Julien Antoine},\n\tyear = {2017},\n\tkeywords = {IIIF},\n}\n\n
\n
\n\n\n
\n The International Image Interoperability Framework (IIIF), an initiative born in 2011, defines a set of common application programming interfaces (APIs) to retrieve, display, manipulate, compare, and annotate digitised and born-digital images. Upon implementation, these technical specifications have offered institutions and end users alike new possibilities. In Switzerland, only a handful of organizations and projects have collaborated with the IIIF community. For instance, e-codices, the Virtual Manuscript Library, implemented in December 2014 the two core IIIF APIs (Image API and Presentation API). Since then, no other Swiss collection has fully complied with the IIIF specifications to make true interoperability possible. The NIE-INE project, overseen by the University of Basel and funded by Swissuniversities, has aimed to build a national platform for scientific editions. There is a shared rationale between NIE-INE and IIIF who both advocate flexible and consistent technical architecture as well as providing high-quality user experience (UX) in their content delivery. Remote and in-person usability tests were conducted on the Universal Viewer (UV) and Mirador, two IIIF-compliant image viewers deployed by many IIIF implementers, in order to assess their satisfaction and efficiency as well as their perceived usability. NIE-INE was the target audience of the usability testing with a view to evaluating how scholarly research and the wider scientific community could benefit from leveraging IIIF-compliant technology. To conclude this bachelor’s thesis, a set of recommendations, based on the usability testing results and throughout this assignment, was drawn for the developing teams of both viewers, the IIIF community and the NIE-INE team members. Raemy, Julien Antoine; Schneider, René\n
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\n  \n Ramsay, S.\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Improving learning of computational thinking using creative thinking exercises in CS-1 computer science courses.\n \n \n \n \n\n\n \n Miller, L. D.; Soh, L.; Chiriacescu, V.; Ingraham, E.; Shell, D. F.; Ramsay, S.; and Hazley, M. P.\n\n\n \n\n\n\n In 2013 IEEE Frontiers in Education Conference (FIE), pages 1426–1432, Oklahoma City, OK, USA, October 2013. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"ImprovingPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@inproceedings{miller_improving_2013,\n\taddress = {Oklahoma City, OK, USA},\n\ttitle = {Improving learning of computational thinking using creative thinking exercises in {CS}-1 computer science courses},\n\tisbn = {978-1-4673-5261-1},\n\turl = {http://ieeexplore.ieee.org/document/6685067/},\n\tdoi = {10.1109/FIE.2013.6685067},\n\turldate = {2020-01-14},\n\tbooktitle = {2013 {IEEE} {Frontiers} in {Education} {Conference} ({FIE})},\n\tpublisher = {IEEE},\n\tauthor = {Miller, L. Dee and Soh, Leen-Kiat and Chiriacescu, Vlad and Ingraham, Elizabeth and Shell, Duane F. and Ramsay, Stephen and Hazley, Melissa Patterson},\n\tmonth = oct,\n\tyear = {2013},\n\tpages = {1426--1432},\n}\n\n
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\n  \n Reffle, U.\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n PoCoTo - an Open Source System for Efficient Interactive Postcorrection of OCRed Historical Texts.\n \n \n \n \n\n\n \n Vobl, T.; Gotscharek, A.; Reffle, U.; Ringlstetter, C.; and Schulz, K. U.\n\n\n \n\n\n\n In Proceedings of the First International Conference on Digital Access to Textual Cultural Heritage, of DATeCH '14, pages 57–61, New York, NY, USA, 2014. ACM\n \n\n\n\n
\n\n\n\n \n \n \"PoCoToPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n\n\n\n
\n
@inproceedings{vobl_pocoto_2014,\n\taddress = {New York, NY, USA},\n\tseries = {{DATeCH} '14},\n\ttitle = {{PoCoTo} - an {Open} {Source} {System} for {Efficient} {Interactive} {Postcorrection} of {OCRed} {Historical} {Texts}},\n\tisbn = {978-1-4503-2588-2},\n\turl = {http://doi.acm.org/10.1145/2595188.2595197},\n\tdoi = {10.1145/2595188.2595197},\n\tabstract = {When applied to historical texts, OCR engines often produce a non-negligible number of OCR errors. For research in the Humanities, text mining and retrieval, the option is important to improve the quality of OCRed historical texts using interactive postcorrection. We describe a system for interactive postcorrection of OCRed historical documents developed in the EU project IMPACT. Various advanced features of the system help to efficiently correct texts. Language technology used in the background takes orthographic variation in historical language into account. Using this knowledge, the tool visualizes possible OCR errors and series of similar possible OCR errors in a given input document. Error series can be corrected in one shot. Practical user tests in three major European libraries have shown that the system considerably reduces the time needed by human correctors to eliminate a certain number of OCR errors. The system has been published as an open source tool under GitHub.},\n\tbooktitle = {Proceedings of the {First} {International} {Conference} on {Digital} {Access} to {Textual} {Cultural} {Heritage}},\n\tpublisher = {ACM},\n\tauthor = {Vobl, Thorsten and Gotscharek, Annette and Reffle, Uli and Ringlstetter, Christoph and Schulz, Klaus U.},\n\tyear = {2014},\n\tkeywords = {decision support, error correction, user interfaces},\n\tpages = {57--61},\n}\n\n
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\n When applied to historical texts, OCR engines often produce a non-negligible number of OCR errors. For research in the Humanities, text mining and retrieval, the option is important to improve the quality of OCRed historical texts using interactive postcorrection. We describe a system for interactive postcorrection of OCRed historical documents developed in the EU project IMPACT. Various advanced features of the system help to efficiently correct texts. Language technology used in the background takes orthographic variation in historical language into account. Using this knowledge, the tool visualizes possible OCR errors and series of similar possible OCR errors in a given input document. Error series can be corrected in one shot. Practical user tests in three major European libraries have shown that the system considerably reduces the time needed by human correctors to eliminate a certain number of OCR errors. The system has been published as an open source tool under GitHub.\n
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\n  \n Retsinas, G.\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Transforming scholarship in the archives through handwritten text recognition: Transkribus as a case study.\n \n \n \n \n\n\n \n Muehlberger, G.; Seaward, L.; Terras, M.; Ares Oliveira, S.; Bosch, V.; Bryan, M.; Colutto, S.; Déjean, H.; Diem, M.; Fiel, S.; Gatos, B.; Greinoecker, A.; Grüning, T.; Hackl, G.; Haukkovaara, V.; Heyer, G.; Hirvonen, L.; Hodel, T.; Jokinen, M.; Kahle, P.; Kallio, M.; Kaplan, F.; Kleber, F.; Labahn, R.; Lang, E. M.; Laube, S.; Leifert, G.; Louloudis, G.; McNicholl, R.; Meunier, J.; Michael, J.; Mühlbauer, E.; Philipp, N.; Pratikakis, I.; Puigcerver Pérez, J.; Putz, H.; Retsinas, G.; Romero, V.; Sablatnig, R.; Sánchez, J. A.; Schofield, P.; Sfikas, G.; Sieber, C.; Stamatopoulos, N.; Strauß, T.; Terbul, T.; Toselli, A. H.; Ulreich, B.; Villegas, M.; Vidal, E.; Walcher, J.; Weidemann, M.; Wurster, H.; and Zagoris, K.\n\n\n \n\n\n\n Journal of Documentation, 75(5): 954–976. September 2019.\n \n\n\n\n
\n\n\n\n \n \n \"TransformingPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{muehlberger_transforming_2019,\n\ttitle = {Transforming scholarship in the archives through handwritten text recognition: {Transkribus} as a case study},\n\tvolume = {75},\n\tissn = {0022-0418},\n\tshorttitle = {Transforming scholarship in the archives through handwritten text recognition},\n\turl = {https://www.emerald.com/insight/content/doi/10.1108/JD-07-2018-0114/full/html},\n\tdoi = {10.1108/JD-07-2018-0114},\n\tabstract = {Purpose\n              \n                An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded\n                Transkribus\n                platform. It explains HTR, demonstrates\n                Transkribus\n                , gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues.\n              \n            \n            \n              Design/methodology/approach\n              This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material.\n            \n            \n              Findings\n              \n                Transkribus\n                has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified.\n              \n            \n            \n              Research limitations/implications\n              The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc.\n            \n            \n              Practical implications\n              \n                Only HTR provided via\n                Transkribus\n                is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field.\n              \n            \n            \n              Social implications\n              The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals.\n            \n            \n              Originality/value\n              This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.},\n\tlanguage = {en},\n\tnumber = {5},\n\turldate = {2020-01-02},\n\tjournal = {Journal of Documentation},\n\tauthor = {Muehlberger, Guenter and Seaward, Louise and Terras, Melissa and Ares Oliveira, Sofia and Bosch, Vicente and Bryan, Maximilian and Colutto, Sebastian and Déjean, Hervé and Diem, Markus and Fiel, Stefan and Gatos, Basilis and Greinoecker, Albert and Grüning, Tobias and Hackl, Guenter and Haukkovaara, Vili and Heyer, Gerhard and Hirvonen, Lauri and Hodel, Tobias and Jokinen, Matti and Kahle, Philip and Kallio, Mario and Kaplan, Frederic and Kleber, Florian and Labahn, Roger and Lang, Eva Maria and Laube, Sören and Leifert, Gundram and Louloudis, Georgios and McNicholl, Rory and Meunier, Jean-Luc and Michael, Johannes and Mühlbauer, Elena and Philipp, Nathanael and Pratikakis, Ioannis and Puigcerver Pérez, Joan and Putz, Hannelore and Retsinas, George and Romero, Verónica and Sablatnig, Robert and Sánchez, Joan Andreu and Schofield, Philip and Sfikas, Giorgos and Sieber, Christian and Stamatopoulos, Nikolaos and Strauß, Tobias and Terbul, Tamara and Toselli, Alejandro Héctor and Ulreich, Berthold and Villegas, Mauricio and Vidal, Enrique and Walcher, Johanna and Weidemann, Max and Wurster, Herbert and Zagoris, Konstantinos},\n\tmonth = sep,\n\tyear = {2019},\n\tpages = {954--976},\n}\n\n
\n
\n\n\n
\n Purpose An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded Transkribus platform. It explains HTR, demonstrates Transkribus , gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues. Design/methodology/approach This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material. Findings Transkribus has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified. Research limitations/implications The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc. Practical implications Only HTR provided via Transkribus is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field. Social implications The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals. Originality/value This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.\n
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\n  \n Rinaldi, B.\n \n \n (2)\n \n \n
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\n \n\n \n \n \n \n \n Working with Static Sites: Bringing the Power of Simplicity to Modern Sites.\n \n \n \n\n\n \n Camden, R.; and Rinaldi, B.\n\n\n \n\n\n\n O'Reilly Media, 1st edition edition, March 2017.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@book{camden_working_2017,\n\tedition = {1st edition},\n\ttitle = {Working with {Static} {Sites}: {Bringing} the {Power} of {Simplicity} to {Modern} {Sites}},\n\tshorttitle = {Working with {Static} {Sites}},\n\tabstract = {Just like vinyl LPs, static sites are making a comeback, evidenced by the wide array of static-site generators now available. This practical book shows you hands-on how to build these simple sites for blogs and other use cases, and how to make them more powerful. In the process, you’ll work with some of today’s more mature and popular static-site generators.Authors Raymond Camden and Brian Rinaldi explain the advantages of using static-site generators for building fast and secure sites. Web and frontend designers and developers will also explore methods for adding dynamic elements and for migrating an existing CMS to a static site.Build a basic four-page static site with the Harp generatorCreate a simple blog with JekyllDevelop a documentation site with Hugo by generating site files and creating the layoutAdd dynamic elements, such as forms, comments, and searchIntegrate a CMS with tools such as CloudCannon and Netlify CMSUse one of several options to deploy your static filesLearn methods for moving an existing CMS to a static site},\n\tlanguage = {English},\n\tpublisher = {O'Reilly Media},\n\tauthor = {Camden, Raymond and Rinaldi, Brian},\n\tmonth = mar,\n\tyear = {2017},\n}\n\n
\n
\n\n\n
\n Just like vinyl LPs, static sites are making a comeback, evidenced by the wide array of static-site generators now available. This practical book shows you hands-on how to build these simple sites for blogs and other use cases, and how to make them more powerful. In the process, you’ll work with some of today’s more mature and popular static-site generators.Authors Raymond Camden and Brian Rinaldi explain the advantages of using static-site generators for building fast and secure sites. Web and frontend designers and developers will also explore methods for adding dynamic elements and for migrating an existing CMS to a static site.Build a basic four-page static site with the Harp generatorCreate a simple blog with JekyllDevelop a documentation site with Hugo by generating site files and creating the layoutAdd dynamic elements, such as forms, comments, and searchIntegrate a CMS with tools such as CloudCannon and Netlify CMSUse one of several options to deploy your static filesLearn methods for moving an existing CMS to a static site\n
\n\n\n
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\n \n\n \n \n \n \n \n The Jamstack Book: Beyond static sites with JavaScript, APIs, and markup.\n \n \n \n\n\n \n Camden, R.; and Rinaldi, B.\n\n\n \n\n\n\n Manning, Shelter Island, NY, July 2022.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@book{camden_jamstack_2022,\n\taddress = {Shelter Island, NY},\n\ttitle = {The {Jamstack} {Book}: {Beyond} static sites with {JavaScript}, {APIs}, and markup},\n\tisbn = {978-1-61729-888-2},\n\tshorttitle = {The {Jamstack} {Book}},\n\tabstract = {Jamstack = JavaScript, APIs, and Markup. Use established standard technologies to build super-fast static websites without sacrificing rich, dynamic features.In The Jamstack Book, you will learn how to: Use different static site generators to build websites Deploy Jamstack sites with 11ty, Next.js, Hugo, and Jekyll Add dynamic capabilities like form processing and eCommerce Enhance your Jamstack site with serverless capabilities Integrate a CMS with a Jamstack site  Jamstack sites use JavaScript, APIs, and Markup to create fast, dynamic pages without the overhead of heavyweight frameworks. The Jamstack Book is your essential guide to this exciting new web architecture. Written by renowned Jamstack experts Raymond Camden and Brian Rinaldi, it’s filled with real-world projects to develop and hone your skills. You’ll learn how to lay out and generate a site, set up your own CMS, and add dynamic features like user logins and search functionality. Confusing jargon is demystified. Plus, you’ll get the chance to try out different static site generators and find the one that works best for you. Pick up this book today, and you’ll discover how the Jamstack answers your need for speed and simplicity.  Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.  About the technology JavaScript, APIs, and pre-rendered Markup put the JAM in Jamstack. This modern web architecture delivers the quick load times of static sites along with the dynamic functionality you need for user-friendly interactive features. Built with lightweight standards and tools, Jamstack sites are fast, secure, easy to maintain, and naturally optimized for mobile and SEO.  About the book The Jamstack Book teaches effectively by creating a portfolio of sites, ranging from a simple blog to an eCommerce store. Each new project introduces important skills, including cloud deployment, user logins, and search. You’ll get hands-on experience with tools like 11ty, Next.js, and Netlify. As your skills grow, the examples become more sophisticated, including serverless technology, dynamic forms, and an integrated CMS.  What's inside Use different static site generators to build websites Add dynamic capabilities like form processing and eCommerce Enhance your Jamstack site with serverless capabilities Integrate a CMS with a Jamstack site About the reader For web developers and CMS site developers.  About the author Raymond Camden is the author of multiple books on web development and has been blogging and presenting for almost twenty years. Brian Rinaldi has been involved in static site and Jamstack development since the early days.  Table of Contents 1 Why Jamstack? 2 Building a basic Jamstack site 3 Building a blog 4 Building a documentation site 5 Building an e-commerce site 6 Deployment 7 Adding dynamic elements 8 Working with serverless computing 9 Adding a content management system 10 Migrating to the Jamstack},\n\tlanguage = {English},\n\tpublisher = {Manning},\n\tauthor = {Camden, Raymond and Rinaldi, Brian},\n\tmonth = jul,\n\tyear = {2022},\n}\n\n
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\n Jamstack = JavaScript, APIs, and Markup. Use established standard technologies to build super-fast static websites without sacrificing rich, dynamic features.In The Jamstack Book, you will learn how to: Use different static site generators to build websites Deploy Jamstack sites with 11ty, Next.js, Hugo, and Jekyll Add dynamic capabilities like form processing and eCommerce Enhance your Jamstack site with serverless capabilities Integrate a CMS with a Jamstack site Jamstack sites use JavaScript, APIs, and Markup to create fast, dynamic pages without the overhead of heavyweight frameworks. The Jamstack Book is your essential guide to this exciting new web architecture. Written by renowned Jamstack experts Raymond Camden and Brian Rinaldi, it’s filled with real-world projects to develop and hone your skills. You’ll learn how to lay out and generate a site, set up your own CMS, and add dynamic features like user logins and search functionality. Confusing jargon is demystified. Plus, you’ll get the chance to try out different static site generators and find the one that works best for you. Pick up this book today, and you’ll discover how the Jamstack answers your need for speed and simplicity. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology JavaScript, APIs, and pre-rendered Markup put the JAM in Jamstack. This modern web architecture delivers the quick load times of static sites along with the dynamic functionality you need for user-friendly interactive features. Built with lightweight standards and tools, Jamstack sites are fast, secure, easy to maintain, and naturally optimized for mobile and SEO. About the book The Jamstack Book teaches effectively by creating a portfolio of sites, ranging from a simple blog to an eCommerce store. Each new project introduces important skills, including cloud deployment, user logins, and search. You’ll get hands-on experience with tools like 11ty, Next.js, and Netlify. As your skills grow, the examples become more sophisticated, including serverless technology, dynamic forms, and an integrated CMS. What's inside Use different static site generators to build websites Add dynamic capabilities like form processing and eCommerce Enhance your Jamstack site with serverless capabilities Integrate a CMS with a Jamstack site About the reader For web developers and CMS site developers. About the author Raymond Camden is the author of multiple books on web development and has been blogging and presenting for almost twenty years. Brian Rinaldi has been involved in static site and Jamstack development since the early days. Table of Contents 1 Why Jamstack? 2 Building a basic Jamstack site 3 Building a blog 4 Building a documentation site 5 Building an e-commerce site 6 Deployment 7 Adding dynamic elements 8 Working with serverless computing 9 Adding a content management system 10 Migrating to the Jamstack\n
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\n  \n Ringlstetter, C.\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n PoCoTo - an Open Source System for Efficient Interactive Postcorrection of OCRed Historical Texts.\n \n \n \n \n\n\n \n Vobl, T.; Gotscharek, A.; Reffle, U.; Ringlstetter, C.; and Schulz, K. U.\n\n\n \n\n\n\n In Proceedings of the First International Conference on Digital Access to Textual Cultural Heritage, of DATeCH '14, pages 57–61, New York, NY, USA, 2014. ACM\n \n\n\n\n
\n\n\n\n \n \n \"PoCoToPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n\n\n\n
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@inproceedings{vobl_pocoto_2014,\n\taddress = {New York, NY, USA},\n\tseries = {{DATeCH} '14},\n\ttitle = {{PoCoTo} - an {Open} {Source} {System} for {Efficient} {Interactive} {Postcorrection} of {OCRed} {Historical} {Texts}},\n\tisbn = {978-1-4503-2588-2},\n\turl = {http://doi.acm.org/10.1145/2595188.2595197},\n\tdoi = {10.1145/2595188.2595197},\n\tabstract = {When applied to historical texts, OCR engines often produce a non-negligible number of OCR errors. For research in the Humanities, text mining and retrieval, the option is important to improve the quality of OCRed historical texts using interactive postcorrection. We describe a system for interactive postcorrection of OCRed historical documents developed in the EU project IMPACT. Various advanced features of the system help to efficiently correct texts. Language technology used in the background takes orthographic variation in historical language into account. Using this knowledge, the tool visualizes possible OCR errors and series of similar possible OCR errors in a given input document. Error series can be corrected in one shot. Practical user tests in three major European libraries have shown that the system considerably reduces the time needed by human correctors to eliminate a certain number of OCR errors. The system has been published as an open source tool under GitHub.},\n\tbooktitle = {Proceedings of the {First} {International} {Conference} on {Digital} {Access} to {Textual} {Cultural} {Heritage}},\n\tpublisher = {ACM},\n\tauthor = {Vobl, Thorsten and Gotscharek, Annette and Reffle, Uli and Ringlstetter, Christoph and Schulz, Klaus U.},\n\tyear = {2014},\n\tkeywords = {decision support, error correction, user interfaces},\n\tpages = {57--61},\n}\n\n
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\n When applied to historical texts, OCR engines often produce a non-negligible number of OCR errors. For research in the Humanities, text mining and retrieval, the option is important to improve the quality of OCRed historical texts using interactive postcorrection. We describe a system for interactive postcorrection of OCRed historical documents developed in the EU project IMPACT. Various advanced features of the system help to efficiently correct texts. Language technology used in the background takes orthographic variation in historical language into account. Using this knowledge, the tool visualizes possible OCR errors and series of similar possible OCR errors in a given input document. Error series can be corrected in one shot. Practical user tests in three major European libraries have shown that the system considerably reduces the time needed by human correctors to eliminate a certain number of OCR errors. The system has been published as an open source tool under GitHub.\n
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\n  \n Rogers, R.\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Digital methods.\n \n \n \n \n\n\n \n Rogers, R.\n\n\n \n\n\n\n MIT Press, Cambridge, MA, 2013.\n \n\n\n\n
\n\n\n\n \n \n \"DigitalPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@book{rogers_digital_2013,\n\taddress = {Cambridge, MA},\n\ttitle = {Digital methods},\n\tisbn = {978-0-262-01883-8 0-262-01883-7},\n\turl = {http://www.amazon.com/Digital-Methods-Richard-Rogers/dp/0262018837},\n\tabstract = {In Digital Methods, Richard Rogers proposes a methodological outlook for social and cultural scholarly research on the Web that seeks to move Internet research beyond the study of online culture. It is not a toolkit for Internet research, or operating instructions for a software package; it deals with broader questions. How can we study social media to learn something about society rather than about social media use? How can hyperlinks reveal not just the value of a Web site but the politics of association? Rogers proposes repurposing Web-native techniques for research into cultural change and societal conditions. We can learn to reapply such "methods of the medium" as crawling and crowd sourcing, PageRank and similar algorithms, tag clouds and other visualizations; we can learn how they handle hits, likes, tags, date stamps, and other Web-native objects. By "thinking along" with devices and the objects they handle, digital research methods can follow the evolving methods of the medium. Rogers uses this new methodological outlook to examine the findings of inquiries into 9/11 search results, the recognition of climate change skeptics by climate-change-related Web sites, the events surrounding the Srebrenica massacre according to Dutch, Serbian, Bosnian, and Croatian Wikipedias, presidential candidates' social media "friends," and the censorship of the Iranian Web. With Digital Methods, Rogers introduces a new vision and method for Internet research and at the same time applies them to the Web's objects of study, from tiny particles (hyperlinks) to large masses (social media).},\n\tlanguage = {en},\n\tpublisher = {MIT Press},\n\tauthor = {Rogers, Richard},\n\tyear = {2013},\n\tkeywords = {bigdata{\\textasciitilde}},\n}\n\n
\n
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\n In Digital Methods, Richard Rogers proposes a methodological outlook for social and cultural scholarly research on the Web that seeks to move Internet research beyond the study of online culture. It is not a toolkit for Internet research, or operating instructions for a software package; it deals with broader questions. How can we study social media to learn something about society rather than about social media use? How can hyperlinks reveal not just the value of a Web site but the politics of association? Rogers proposes repurposing Web-native techniques for research into cultural change and societal conditions. We can learn to reapply such \"methods of the medium\" as crawling and crowd sourcing, PageRank and similar algorithms, tag clouds and other visualizations; we can learn how they handle hits, likes, tags, date stamps, and other Web-native objects. By \"thinking along\" with devices and the objects they handle, digital research methods can follow the evolving methods of the medium. Rogers uses this new methodological outlook to examine the findings of inquiries into 9/11 search results, the recognition of climate change skeptics by climate-change-related Web sites, the events surrounding the Srebrenica massacre according to Dutch, Serbian, Bosnian, and Croatian Wikipedias, presidential candidates' social media \"friends,\" and the censorship of the Iranian Web. With Digital Methods, Rogers introduces a new vision and method for Internet research and at the same time applies them to the Web's objects of study, from tiny particles (hyperlinks) to large masses (social media).\n
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\n  \n Romero, V.\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Transforming scholarship in the archives through handwritten text recognition: Transkribus as a case study.\n \n \n \n \n\n\n \n Muehlberger, G.; Seaward, L.; Terras, M.; Ares Oliveira, S.; Bosch, V.; Bryan, M.; Colutto, S.; Déjean, H.; Diem, M.; Fiel, S.; Gatos, B.; Greinoecker, A.; Grüning, T.; Hackl, G.; Haukkovaara, V.; Heyer, G.; Hirvonen, L.; Hodel, T.; Jokinen, M.; Kahle, P.; Kallio, M.; Kaplan, F.; Kleber, F.; Labahn, R.; Lang, E. M.; Laube, S.; Leifert, G.; Louloudis, G.; McNicholl, R.; Meunier, J.; Michael, J.; Mühlbauer, E.; Philipp, N.; Pratikakis, I.; Puigcerver Pérez, J.; Putz, H.; Retsinas, G.; Romero, V.; Sablatnig, R.; Sánchez, J. A.; Schofield, P.; Sfikas, G.; Sieber, C.; Stamatopoulos, N.; Strauß, T.; Terbul, T.; Toselli, A. H.; Ulreich, B.; Villegas, M.; Vidal, E.; Walcher, J.; Weidemann, M.; Wurster, H.; and Zagoris, K.\n\n\n \n\n\n\n Journal of Documentation, 75(5): 954–976. September 2019.\n \n\n\n\n
\n\n\n\n \n \n \"TransformingPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{muehlberger_transforming_2019,\n\ttitle = {Transforming scholarship in the archives through handwritten text recognition: {Transkribus} as a case study},\n\tvolume = {75},\n\tissn = {0022-0418},\n\tshorttitle = {Transforming scholarship in the archives through handwritten text recognition},\n\turl = {https://www.emerald.com/insight/content/doi/10.1108/JD-07-2018-0114/full/html},\n\tdoi = {10.1108/JD-07-2018-0114},\n\tabstract = {Purpose\n              \n                An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded\n                Transkribus\n                platform. It explains HTR, demonstrates\n                Transkribus\n                , gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues.\n              \n            \n            \n              Design/methodology/approach\n              This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material.\n            \n            \n              Findings\n              \n                Transkribus\n                has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified.\n              \n            \n            \n              Research limitations/implications\n              The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc.\n            \n            \n              Practical implications\n              \n                Only HTR provided via\n                Transkribus\n                is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field.\n              \n            \n            \n              Social implications\n              The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals.\n            \n            \n              Originality/value\n              This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.},\n\tlanguage = {en},\n\tnumber = {5},\n\turldate = {2020-01-02},\n\tjournal = {Journal of Documentation},\n\tauthor = {Muehlberger, Guenter and Seaward, Louise and Terras, Melissa and Ares Oliveira, Sofia and Bosch, Vicente and Bryan, Maximilian and Colutto, Sebastian and Déjean, Hervé and Diem, Markus and Fiel, Stefan and Gatos, Basilis and Greinoecker, Albert and Grüning, Tobias and Hackl, Guenter and Haukkovaara, Vili and Heyer, Gerhard and Hirvonen, Lauri and Hodel, Tobias and Jokinen, Matti and Kahle, Philip and Kallio, Mario and Kaplan, Frederic and Kleber, Florian and Labahn, Roger and Lang, Eva Maria and Laube, Sören and Leifert, Gundram and Louloudis, Georgios and McNicholl, Rory and Meunier, Jean-Luc and Michael, Johannes and Mühlbauer, Elena and Philipp, Nathanael and Pratikakis, Ioannis and Puigcerver Pérez, Joan and Putz, Hannelore and Retsinas, George and Romero, Verónica and Sablatnig, Robert and Sánchez, Joan Andreu and Schofield, Philip and Sfikas, Giorgos and Sieber, Christian and Stamatopoulos, Nikolaos and Strauß, Tobias and Terbul, Tamara and Toselli, Alejandro Héctor and Ulreich, Berthold and Villegas, Mauricio and Vidal, Enrique and Walcher, Johanna and Weidemann, Max and Wurster, Herbert and Zagoris, Konstantinos},\n\tmonth = sep,\n\tyear = {2019},\n\tpages = {954--976},\n}\n\n
\n
\n\n\n
\n Purpose An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded Transkribus platform. It explains HTR, demonstrates Transkribus , gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues. Design/methodology/approach This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material. Findings Transkribus has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified. Research limitations/implications The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc. Practical implications Only HTR provided via Transkribus is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field. Social implications The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals. Originality/value This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.\n
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\n  \n Sablatnig, R.\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Transforming scholarship in the archives through handwritten text recognition: Transkribus as a case study.\n \n \n \n \n\n\n \n Muehlberger, G.; Seaward, L.; Terras, M.; Ares Oliveira, S.; Bosch, V.; Bryan, M.; Colutto, S.; Déjean, H.; Diem, M.; Fiel, S.; Gatos, B.; Greinoecker, A.; Grüning, T.; Hackl, G.; Haukkovaara, V.; Heyer, G.; Hirvonen, L.; Hodel, T.; Jokinen, M.; Kahle, P.; Kallio, M.; Kaplan, F.; Kleber, F.; Labahn, R.; Lang, E. M.; Laube, S.; Leifert, G.; Louloudis, G.; McNicholl, R.; Meunier, J.; Michael, J.; Mühlbauer, E.; Philipp, N.; Pratikakis, I.; Puigcerver Pérez, J.; Putz, H.; Retsinas, G.; Romero, V.; Sablatnig, R.; Sánchez, J. A.; Schofield, P.; Sfikas, G.; Sieber, C.; Stamatopoulos, N.; Strauß, T.; Terbul, T.; Toselli, A. H.; Ulreich, B.; Villegas, M.; Vidal, E.; Walcher, J.; Weidemann, M.; Wurster, H.; and Zagoris, K.\n\n\n \n\n\n\n Journal of Documentation, 75(5): 954–976. September 2019.\n \n\n\n\n
\n\n\n\n \n \n \"TransformingPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@article{muehlberger_transforming_2019,\n\ttitle = {Transforming scholarship in the archives through handwritten text recognition: {Transkribus} as a case study},\n\tvolume = {75},\n\tissn = {0022-0418},\n\tshorttitle = {Transforming scholarship in the archives through handwritten text recognition},\n\turl = {https://www.emerald.com/insight/content/doi/10.1108/JD-07-2018-0114/full/html},\n\tdoi = {10.1108/JD-07-2018-0114},\n\tabstract = {Purpose\n              \n                An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded\n                Transkribus\n                platform. It explains HTR, demonstrates\n                Transkribus\n                , gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues.\n              \n            \n            \n              Design/methodology/approach\n              This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material.\n            \n            \n              Findings\n              \n                Transkribus\n                has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified.\n              \n            \n            \n              Research limitations/implications\n              The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc.\n            \n            \n              Practical implications\n              \n                Only HTR provided via\n                Transkribus\n                is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field.\n              \n            \n            \n              Social implications\n              The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals.\n            \n            \n              Originality/value\n              This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.},\n\tlanguage = {en},\n\tnumber = {5},\n\turldate = {2020-01-02},\n\tjournal = {Journal of Documentation},\n\tauthor = {Muehlberger, Guenter and Seaward, Louise and Terras, Melissa and Ares Oliveira, Sofia and Bosch, Vicente and Bryan, Maximilian and Colutto, Sebastian and Déjean, Hervé and Diem, Markus and Fiel, Stefan and Gatos, Basilis and Greinoecker, Albert and Grüning, Tobias and Hackl, Guenter and Haukkovaara, Vili and Heyer, Gerhard and Hirvonen, Lauri and Hodel, Tobias and Jokinen, Matti and Kahle, Philip and Kallio, Mario and Kaplan, Frederic and Kleber, Florian and Labahn, Roger and Lang, Eva Maria and Laube, Sören and Leifert, Gundram and Louloudis, Georgios and McNicholl, Rory and Meunier, Jean-Luc and Michael, Johannes and Mühlbauer, Elena and Philipp, Nathanael and Pratikakis, Ioannis and Puigcerver Pérez, Joan and Putz, Hannelore and Retsinas, George and Romero, Verónica and Sablatnig, Robert and Sánchez, Joan Andreu and Schofield, Philip and Sfikas, Giorgos and Sieber, Christian and Stamatopoulos, Nikolaos and Strauß, Tobias and Terbul, Tamara and Toselli, Alejandro Héctor and Ulreich, Berthold and Villegas, Mauricio and Vidal, Enrique and Walcher, Johanna and Weidemann, Max and Wurster, Herbert and Zagoris, Konstantinos},\n\tmonth = sep,\n\tyear = {2019},\n\tpages = {954--976},\n}\n\n
\n
\n\n\n
\n Purpose An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded Transkribus platform. It explains HTR, demonstrates Transkribus , gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues. Design/methodology/approach This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material. Findings Transkribus has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified. Research limitations/implications The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc. Practical implications Only HTR provided via Transkribus is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field. Social implications The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals. Originality/value This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.\n
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\n  \n Samara, P.\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n A Multiple-Label Guided Clustering Algorithm for Historical Document Dating and Localization.\n \n \n \n\n\n \n He, S.; Samara, P.; Burgers, J.; and Schomaker, L.\n\n\n \n\n\n\n IEEE Trans. Image Processing, 25(11): 5252–5265. 2016.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{he_multiple-label_2016,\n\ttitle = {A {Multiple}-{Label} {Guided} {Clustering} {Algorithm} for {Historical} {Document} {Dating} and {Localization}},\n\tvolume = {25},\n\tdoi = {10.1109/TIP.2016.2602078},\n\tnumber = {11},\n\tjournal = {IEEE Trans. Image Processing},\n\tauthor = {He, Sheng and Samara, Petros and Burgers, Jan and Schomaker, Lambert},\n\tyear = {2016},\n\tpages = {5252--5265},\n}\n\n
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\n  \n Schmitt, A.\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Usability-Analyse von digitalen Tools und Methoden in den Geisteswissenschaften.\n \n \n \n \n\n\n \n Simon, T.; Dolan, J.; Schmitt, A.; and Pagel, S.\n\n\n \n\n\n\n Gesellschaft für Informatik e.V., 2019.\n \n\n\n\n
\n\n\n\n \n \n \"Usability-AnalysePaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@book{simon_usability-analyse_2019,\n\ttitle = {Usability-{Analyse} von digitalen {Tools} und {Methoden} in den {Geisteswissenschaften}},\n\tisbn = {978-3-88579-689-3},\n\turl = {http://dl.gi.de/handle/20.500.12116/25043},\n\tabstract = {Fehlende Usability ist ein häufig auftretendes Problem von Tools aus dem geisteswissenschaftlicher Forschungskontext. In dieser Studie werden Tools, die im Editionsprozess eingesetzt werden, systematisch untersucht. Dabei wird auf einen Methodenmix aus Eyetracking und Gruppendiskussionen gesetzt. Die bisherigen Erkenntnisse geben einen Eindruck über typische Probleme, methodische Auswertungsmöglichkeiten und konkrete Empfehlungen für Verbesserungen der Tools.},\n\tlanguage = {de},\n\turldate = {2019-10-10},\n\tpublisher = {Gesellschaft für Informatik e.V.},\n\tauthor = {Simon, Tobias and Dolan, Jana and Schmitt, Alexander and Pagel, Sven},\n\tyear = {2019},\n\tdoi = {10.18420/inf2019_ws11},\n}\n
\n
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\n Fehlende Usability ist ein häufig auftretendes Problem von Tools aus dem geisteswissenschaftlicher Forschungskontext. In dieser Studie werden Tools, die im Editionsprozess eingesetzt werden, systematisch untersucht. Dabei wird auf einen Methodenmix aus Eyetracking und Gruppendiskussionen gesetzt. Die bisherigen Erkenntnisse geben einen Eindruck über typische Probleme, methodische Auswertungsmöglichkeiten und konkrete Empfehlungen für Verbesserungen der Tools.\n
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\n  \n Schofield, P.\n \n \n (2)\n \n \n
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\n \n\n \n \n \n \n \n TranScriptorium: a European Project on Handwritten Text Recognition.\n \n \n \n\n\n \n Sánchez, J.; Mühlberger, G.; Gatos, B.; Schofield, P.; Depuydt, K.; Davis, R.; Vidal, E.; and de Does, J.\n\n\n \n\n\n\n In Marinai, S.; and Marriott, K., editor(s), ACM Symposium on Document Engineering DOCENG, pages 227–228, 2013. ACM\n tex.crossref: conf/doceng/2013\n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{conf/doceng/SanchezMGSDDVD13,\n\ttitle = {{TranScriptorium}: a {European} {Project} on {Handwritten} {Text} {Recognition}.},\n\tbooktitle = {{ACM} {Symposium} on {Document} {Engineering} {DOCENG}},\n\tpublisher = {ACM},\n\tauthor = {Sánchez, J.A. and Mühlberger, G. and Gatos, B. and Schofield, P. and Depuydt, K. and Davis, R.M. and Vidal, E. and de Does, J.},\n\teditor = {Marinai, Simone and Marriott, Kim},\n\tyear = {2013},\n\tnote = {tex.crossref: conf/doceng/2013},\n\tpages = {227--228},\n}\n\n
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\n \n\n \n \n \n \n \n \n Transforming scholarship in the archives through handwritten text recognition: Transkribus as a case study.\n \n \n \n \n\n\n \n Muehlberger, G.; Seaward, L.; Terras, M.; Ares Oliveira, S.; Bosch, V.; Bryan, M.; Colutto, S.; Déjean, H.; Diem, M.; Fiel, S.; Gatos, B.; Greinoecker, A.; Grüning, T.; Hackl, G.; Haukkovaara, V.; Heyer, G.; Hirvonen, L.; Hodel, T.; Jokinen, M.; Kahle, P.; Kallio, M.; Kaplan, F.; Kleber, F.; Labahn, R.; Lang, E. M.; Laube, S.; Leifert, G.; Louloudis, G.; McNicholl, R.; Meunier, J.; Michael, J.; Mühlbauer, E.; Philipp, N.; Pratikakis, I.; Puigcerver Pérez, J.; Putz, H.; Retsinas, G.; Romero, V.; Sablatnig, R.; Sánchez, J. A.; Schofield, P.; Sfikas, G.; Sieber, C.; Stamatopoulos, N.; Strauß, T.; Terbul, T.; Toselli, A. H.; Ulreich, B.; Villegas, M.; Vidal, E.; Walcher, J.; Weidemann, M.; Wurster, H.; and Zagoris, K.\n\n\n \n\n\n\n Journal of Documentation, 75(5): 954–976. September 2019.\n \n\n\n\n
\n\n\n\n \n \n \"TransformingPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{muehlberger_transforming_2019,\n\ttitle = {Transforming scholarship in the archives through handwritten text recognition: {Transkribus} as a case study},\n\tvolume = {75},\n\tissn = {0022-0418},\n\tshorttitle = {Transforming scholarship in the archives through handwritten text recognition},\n\turl = {https://www.emerald.com/insight/content/doi/10.1108/JD-07-2018-0114/full/html},\n\tdoi = {10.1108/JD-07-2018-0114},\n\tabstract = {Purpose\n              \n                An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded\n                Transkribus\n                platform. It explains HTR, demonstrates\n                Transkribus\n                , gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues.\n              \n            \n            \n              Design/methodology/approach\n              This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material.\n            \n            \n              Findings\n              \n                Transkribus\n                has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified.\n              \n            \n            \n              Research limitations/implications\n              The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc.\n            \n            \n              Practical implications\n              \n                Only HTR provided via\n                Transkribus\n                is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field.\n              \n            \n            \n              Social implications\n              The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals.\n            \n            \n              Originality/value\n              This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.},\n\tlanguage = {en},\n\tnumber = {5},\n\turldate = {2020-01-02},\n\tjournal = {Journal of Documentation},\n\tauthor = {Muehlberger, Guenter and Seaward, Louise and Terras, Melissa and Ares Oliveira, Sofia and Bosch, Vicente and Bryan, Maximilian and Colutto, Sebastian and Déjean, Hervé and Diem, Markus and Fiel, Stefan and Gatos, Basilis and Greinoecker, Albert and Grüning, Tobias and Hackl, Guenter and Haukkovaara, Vili and Heyer, Gerhard and Hirvonen, Lauri and Hodel, Tobias and Jokinen, Matti and Kahle, Philip and Kallio, Mario and Kaplan, Frederic and Kleber, Florian and Labahn, Roger and Lang, Eva Maria and Laube, Sören and Leifert, Gundram and Louloudis, Georgios and McNicholl, Rory and Meunier, Jean-Luc and Michael, Johannes and Mühlbauer, Elena and Philipp, Nathanael and Pratikakis, Ioannis and Puigcerver Pérez, Joan and Putz, Hannelore and Retsinas, George and Romero, Verónica and Sablatnig, Robert and Sánchez, Joan Andreu and Schofield, Philip and Sfikas, Giorgos and Sieber, Christian and Stamatopoulos, Nikolaos and Strauß, Tobias and Terbul, Tamara and Toselli, Alejandro Héctor and Ulreich, Berthold and Villegas, Mauricio and Vidal, Enrique and Walcher, Johanna and Weidemann, Max and Wurster, Herbert and Zagoris, Konstantinos},\n\tmonth = sep,\n\tyear = {2019},\n\tpages = {954--976},\n}\n\n
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\n Purpose An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded Transkribus platform. It explains HTR, demonstrates Transkribus , gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues. Design/methodology/approach This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material. Findings Transkribus has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified. Research limitations/implications The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc. Practical implications Only HTR provided via Transkribus is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field. Social implications The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals. Originality/value This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.\n
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\n  \n Schomaker, L.\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n A Multiple-Label Guided Clustering Algorithm for Historical Document Dating and Localization.\n \n \n \n\n\n \n He, S.; Samara, P.; Burgers, J.; and Schomaker, L.\n\n\n \n\n\n\n IEEE Trans. Image Processing, 25(11): 5252–5265. 2016.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{he_multiple-label_2016,\n\ttitle = {A {Multiple}-{Label} {Guided} {Clustering} {Algorithm} for {Historical} {Document} {Dating} and {Localization}},\n\tvolume = {25},\n\tdoi = {10.1109/TIP.2016.2602078},\n\tnumber = {11},\n\tjournal = {IEEE Trans. Image Processing},\n\tauthor = {He, Sheng and Samara, Petros and Burgers, Jan and Schomaker, Lambert},\n\tyear = {2016},\n\tpages = {5252--5265},\n}\n\n
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\n  \n Schulz, K.\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n PoCoTo - an Open Source System for Efficient Interactive Postcorrection of OCRed Historical Texts.\n \n \n \n \n\n\n \n Vobl, T.; Gotscharek, A.; Reffle, U.; Ringlstetter, C.; and Schulz, K. U.\n\n\n \n\n\n\n In Proceedings of the First International Conference on Digital Access to Textual Cultural Heritage, of DATeCH '14, pages 57–61, New York, NY, USA, 2014. ACM\n \n\n\n\n
\n\n\n\n \n \n \"PoCoToPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n\n\n\n
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@inproceedings{vobl_pocoto_2014,\n\taddress = {New York, NY, USA},\n\tseries = {{DATeCH} '14},\n\ttitle = {{PoCoTo} - an {Open} {Source} {System} for {Efficient} {Interactive} {Postcorrection} of {OCRed} {Historical} {Texts}},\n\tisbn = {978-1-4503-2588-2},\n\turl = {http://doi.acm.org/10.1145/2595188.2595197},\n\tdoi = {10.1145/2595188.2595197},\n\tabstract = {When applied to historical texts, OCR engines often produce a non-negligible number of OCR errors. For research in the Humanities, text mining and retrieval, the option is important to improve the quality of OCRed historical texts using interactive postcorrection. We describe a system for interactive postcorrection of OCRed historical documents developed in the EU project IMPACT. Various advanced features of the system help to efficiently correct texts. Language technology used in the background takes orthographic variation in historical language into account. Using this knowledge, the tool visualizes possible OCR errors and series of similar possible OCR errors in a given input document. Error series can be corrected in one shot. Practical user tests in three major European libraries have shown that the system considerably reduces the time needed by human correctors to eliminate a certain number of OCR errors. The system has been published as an open source tool under GitHub.},\n\tbooktitle = {Proceedings of the {First} {International} {Conference} on {Digital} {Access} to {Textual} {Cultural} {Heritage}},\n\tpublisher = {ACM},\n\tauthor = {Vobl, Thorsten and Gotscharek, Annette and Reffle, Uli and Ringlstetter, Christoph and Schulz, Klaus U.},\n\tyear = {2014},\n\tkeywords = {decision support, error correction, user interfaces},\n\tpages = {57--61},\n}\n\n
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\n When applied to historical texts, OCR engines often produce a non-negligible number of OCR errors. For research in the Humanities, text mining and retrieval, the option is important to improve the quality of OCRed historical texts using interactive postcorrection. We describe a system for interactive postcorrection of OCRed historical documents developed in the EU project IMPACT. Various advanced features of the system help to efficiently correct texts. Language technology used in the background takes orthographic variation in historical language into account. Using this knowledge, the tool visualizes possible OCR errors and series of similar possible OCR errors in a given input document. Error series can be corrected in one shot. Practical user tests in three major European libraries have shown that the system considerably reduces the time needed by human correctors to eliminate a certain number of OCR errors. The system has been published as an open source tool under GitHub.\n
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\n  \n Schöch, C.\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Topic Modeling Genre: An Exploration of French Classical and Enlightenment Drama.\n \n \n \n \n\n\n \n Schöch, C.\n\n\n \n\n\n\n Digital Humanities Quarterly, 11(2). 2017.\n \n\n\n\n
\n\n\n\n \n \n \"TopicPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{schoch_topic_2017,\n\ttitle = {Topic {Modeling} {Genre}: {An} {Exploration} of {French} {Classical} and {Enlightenment} {Drama}},\n\tvolume = {11},\n\turl = {http://www.digitalhumanities.org/dhq/vol/11/2/000291/000291.html},\n\tnumber = {2},\n\turldate = {2017-09-01},\n\tjournal = {Digital Humanities Quarterly},\n\tauthor = {Schöch, Christof},\n\tyear = {2017},\n}\n\n
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\n  \n Seaward, L.\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Transforming scholarship in the archives through handwritten text recognition: Transkribus as a case study.\n \n \n \n \n\n\n \n Muehlberger, G.; Seaward, L.; Terras, M.; Ares Oliveira, S.; Bosch, V.; Bryan, M.; Colutto, S.; Déjean, H.; Diem, M.; Fiel, S.; Gatos, B.; Greinoecker, A.; Grüning, T.; Hackl, G.; Haukkovaara, V.; Heyer, G.; Hirvonen, L.; Hodel, T.; Jokinen, M.; Kahle, P.; Kallio, M.; Kaplan, F.; Kleber, F.; Labahn, R.; Lang, E. M.; Laube, S.; Leifert, G.; Louloudis, G.; McNicholl, R.; Meunier, J.; Michael, J.; Mühlbauer, E.; Philipp, N.; Pratikakis, I.; Puigcerver Pérez, J.; Putz, H.; Retsinas, G.; Romero, V.; Sablatnig, R.; Sánchez, J. A.; Schofield, P.; Sfikas, G.; Sieber, C.; Stamatopoulos, N.; Strauß, T.; Terbul, T.; Toselli, A. H.; Ulreich, B.; Villegas, M.; Vidal, E.; Walcher, J.; Weidemann, M.; Wurster, H.; and Zagoris, K.\n\n\n \n\n\n\n Journal of Documentation, 75(5): 954–976. September 2019.\n \n\n\n\n
\n\n\n\n \n \n \"TransformingPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{muehlberger_transforming_2019,\n\ttitle = {Transforming scholarship in the archives through handwritten text recognition: {Transkribus} as a case study},\n\tvolume = {75},\n\tissn = {0022-0418},\n\tshorttitle = {Transforming scholarship in the archives through handwritten text recognition},\n\turl = {https://www.emerald.com/insight/content/doi/10.1108/JD-07-2018-0114/full/html},\n\tdoi = {10.1108/JD-07-2018-0114},\n\tabstract = {Purpose\n              \n                An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded\n                Transkribus\n                platform. It explains HTR, demonstrates\n                Transkribus\n                , gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues.\n              \n            \n            \n              Design/methodology/approach\n              This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material.\n            \n            \n              Findings\n              \n                Transkribus\n                has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified.\n              \n            \n            \n              Research limitations/implications\n              The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc.\n            \n            \n              Practical implications\n              \n                Only HTR provided via\n                Transkribus\n                is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field.\n              \n            \n            \n              Social implications\n              The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals.\n            \n            \n              Originality/value\n              This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.},\n\tlanguage = {en},\n\tnumber = {5},\n\turldate = {2020-01-02},\n\tjournal = {Journal of Documentation},\n\tauthor = {Muehlberger, Guenter and Seaward, Louise and Terras, Melissa and Ares Oliveira, Sofia and Bosch, Vicente and Bryan, Maximilian and Colutto, Sebastian and Déjean, Hervé and Diem, Markus and Fiel, Stefan and Gatos, Basilis and Greinoecker, Albert and Grüning, Tobias and Hackl, Guenter and Haukkovaara, Vili and Heyer, Gerhard and Hirvonen, Lauri and Hodel, Tobias and Jokinen, Matti and Kahle, Philip and Kallio, Mario and Kaplan, Frederic and Kleber, Florian and Labahn, Roger and Lang, Eva Maria and Laube, Sören and Leifert, Gundram and Louloudis, Georgios and McNicholl, Rory and Meunier, Jean-Luc and Michael, Johannes and Mühlbauer, Elena and Philipp, Nathanael and Pratikakis, Ioannis and Puigcerver Pérez, Joan and Putz, Hannelore and Retsinas, George and Romero, Verónica and Sablatnig, Robert and Sánchez, Joan Andreu and Schofield, Philip and Sfikas, Giorgos and Sieber, Christian and Stamatopoulos, Nikolaos and Strauß, Tobias and Terbul, Tamara and Toselli, Alejandro Héctor and Ulreich, Berthold and Villegas, Mauricio and Vidal, Enrique and Walcher, Johanna and Weidemann, Max and Wurster, Herbert and Zagoris, Konstantinos},\n\tmonth = sep,\n\tyear = {2019},\n\tpages = {954--976},\n}\n\n
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\n Purpose An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded Transkribus platform. It explains HTR, demonstrates Transkribus , gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues. Design/methodology/approach This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material. Findings Transkribus has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified. Research limitations/implications The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc. Practical implications Only HTR provided via Transkribus is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field. Social implications The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals. Originality/value This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.\n
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\n  \n Sfikas, G.\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Transforming scholarship in the archives through handwritten text recognition: Transkribus as a case study.\n \n \n \n \n\n\n \n Muehlberger, G.; Seaward, L.; Terras, M.; Ares Oliveira, S.; Bosch, V.; Bryan, M.; Colutto, S.; Déjean, H.; Diem, M.; Fiel, S.; Gatos, B.; Greinoecker, A.; Grüning, T.; Hackl, G.; Haukkovaara, V.; Heyer, G.; Hirvonen, L.; Hodel, T.; Jokinen, M.; Kahle, P.; Kallio, M.; Kaplan, F.; Kleber, F.; Labahn, R.; Lang, E. M.; Laube, S.; Leifert, G.; Louloudis, G.; McNicholl, R.; Meunier, J.; Michael, J.; Mühlbauer, E.; Philipp, N.; Pratikakis, I.; Puigcerver Pérez, J.; Putz, H.; Retsinas, G.; Romero, V.; Sablatnig, R.; Sánchez, J. A.; Schofield, P.; Sfikas, G.; Sieber, C.; Stamatopoulos, N.; Strauß, T.; Terbul, T.; Toselli, A. H.; Ulreich, B.; Villegas, M.; Vidal, E.; Walcher, J.; Weidemann, M.; Wurster, H.; and Zagoris, K.\n\n\n \n\n\n\n Journal of Documentation, 75(5): 954–976. September 2019.\n \n\n\n\n
\n\n\n\n \n \n \"TransformingPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{muehlberger_transforming_2019,\n\ttitle = {Transforming scholarship in the archives through handwritten text recognition: {Transkribus} as a case study},\n\tvolume = {75},\n\tissn = {0022-0418},\n\tshorttitle = {Transforming scholarship in the archives through handwritten text recognition},\n\turl = {https://www.emerald.com/insight/content/doi/10.1108/JD-07-2018-0114/full/html},\n\tdoi = {10.1108/JD-07-2018-0114},\n\tabstract = {Purpose\n              \n                An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded\n                Transkribus\n                platform. It explains HTR, demonstrates\n                Transkribus\n                , gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues.\n              \n            \n            \n              Design/methodology/approach\n              This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material.\n            \n            \n              Findings\n              \n                Transkribus\n                has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified.\n              \n            \n            \n              Research limitations/implications\n              The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc.\n            \n            \n              Practical implications\n              \n                Only HTR provided via\n                Transkribus\n                is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field.\n              \n            \n            \n              Social implications\n              The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals.\n            \n            \n              Originality/value\n              This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.},\n\tlanguage = {en},\n\tnumber = {5},\n\turldate = {2020-01-02},\n\tjournal = {Journal of Documentation},\n\tauthor = {Muehlberger, Guenter and Seaward, Louise and Terras, Melissa and Ares Oliveira, Sofia and Bosch, Vicente and Bryan, Maximilian and Colutto, Sebastian and Déjean, Hervé and Diem, Markus and Fiel, Stefan and Gatos, Basilis and Greinoecker, Albert and Grüning, Tobias and Hackl, Guenter and Haukkovaara, Vili and Heyer, Gerhard and Hirvonen, Lauri and Hodel, Tobias and Jokinen, Matti and Kahle, Philip and Kallio, Mario and Kaplan, Frederic and Kleber, Florian and Labahn, Roger and Lang, Eva Maria and Laube, Sören and Leifert, Gundram and Louloudis, Georgios and McNicholl, Rory and Meunier, Jean-Luc and Michael, Johannes and Mühlbauer, Elena and Philipp, Nathanael and Pratikakis, Ioannis and Puigcerver Pérez, Joan and Putz, Hannelore and Retsinas, George and Romero, Verónica and Sablatnig, Robert and Sánchez, Joan Andreu and Schofield, Philip and Sfikas, Giorgos and Sieber, Christian and Stamatopoulos, Nikolaos and Strauß, Tobias and Terbul, Tamara and Toselli, Alejandro Héctor and Ulreich, Berthold and Villegas, Mauricio and Vidal, Enrique and Walcher, Johanna and Weidemann, Max and Wurster, Herbert and Zagoris, Konstantinos},\n\tmonth = sep,\n\tyear = {2019},\n\tpages = {954--976},\n}\n\n
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\n Purpose An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded Transkribus platform. It explains HTR, demonstrates Transkribus , gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues. Design/methodology/approach This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material. Findings Transkribus has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified. Research limitations/implications The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc. Practical implications Only HTR provided via Transkribus is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field. Social implications The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals. Originality/value This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.\n
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\n  \n Shell, D.\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Improving learning of computational thinking using creative thinking exercises in CS-1 computer science courses.\n \n \n \n \n\n\n \n Miller, L. D.; Soh, L.; Chiriacescu, V.; Ingraham, E.; Shell, D. F.; Ramsay, S.; and Hazley, M. P.\n\n\n \n\n\n\n In 2013 IEEE Frontiers in Education Conference (FIE), pages 1426–1432, Oklahoma City, OK, USA, October 2013. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"ImprovingPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{miller_improving_2013,\n\taddress = {Oklahoma City, OK, USA},\n\ttitle = {Improving learning of computational thinking using creative thinking exercises in {CS}-1 computer science courses},\n\tisbn = {978-1-4673-5261-1},\n\turl = {http://ieeexplore.ieee.org/document/6685067/},\n\tdoi = {10.1109/FIE.2013.6685067},\n\turldate = {2020-01-14},\n\tbooktitle = {2013 {IEEE} {Frontiers} in {Education} {Conference} ({FIE})},\n\tpublisher = {IEEE},\n\tauthor = {Miller, L. Dee and Soh, Leen-Kiat and Chiriacescu, Vlad and Ingraham, Elizabeth and Shell, Duane F. and Ramsay, Stephen and Hazley, Melissa Patterson},\n\tmonth = oct,\n\tyear = {2013},\n\tpages = {1426--1432},\n}\n\n
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\n  \n Sieber, C.\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Transforming scholarship in the archives through handwritten text recognition: Transkribus as a case study.\n \n \n \n \n\n\n \n Muehlberger, G.; Seaward, L.; Terras, M.; Ares Oliveira, S.; Bosch, V.; Bryan, M.; Colutto, S.; Déjean, H.; Diem, M.; Fiel, S.; Gatos, B.; Greinoecker, A.; Grüning, T.; Hackl, G.; Haukkovaara, V.; Heyer, G.; Hirvonen, L.; Hodel, T.; Jokinen, M.; Kahle, P.; Kallio, M.; Kaplan, F.; Kleber, F.; Labahn, R.; Lang, E. M.; Laube, S.; Leifert, G.; Louloudis, G.; McNicholl, R.; Meunier, J.; Michael, J.; Mühlbauer, E.; Philipp, N.; Pratikakis, I.; Puigcerver Pérez, J.; Putz, H.; Retsinas, G.; Romero, V.; Sablatnig, R.; Sánchez, J. A.; Schofield, P.; Sfikas, G.; Sieber, C.; Stamatopoulos, N.; Strauß, T.; Terbul, T.; Toselli, A. H.; Ulreich, B.; Villegas, M.; Vidal, E.; Walcher, J.; Weidemann, M.; Wurster, H.; and Zagoris, K.\n\n\n \n\n\n\n Journal of Documentation, 75(5): 954–976. September 2019.\n \n\n\n\n
\n\n\n\n \n \n \"TransformingPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{muehlberger_transforming_2019,\n\ttitle = {Transforming scholarship in the archives through handwritten text recognition: {Transkribus} as a case study},\n\tvolume = {75},\n\tissn = {0022-0418},\n\tshorttitle = {Transforming scholarship in the archives through handwritten text recognition},\n\turl = {https://www.emerald.com/insight/content/doi/10.1108/JD-07-2018-0114/full/html},\n\tdoi = {10.1108/JD-07-2018-0114},\n\tabstract = {Purpose\n              \n                An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded\n                Transkribus\n                platform. It explains HTR, demonstrates\n                Transkribus\n                , gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues.\n              \n            \n            \n              Design/methodology/approach\n              This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material.\n            \n            \n              Findings\n              \n                Transkribus\n                has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified.\n              \n            \n            \n              Research limitations/implications\n              The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc.\n            \n            \n              Practical implications\n              \n                Only HTR provided via\n                Transkribus\n                is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field.\n              \n            \n            \n              Social implications\n              The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals.\n            \n            \n              Originality/value\n              This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.},\n\tlanguage = {en},\n\tnumber = {5},\n\turldate = {2020-01-02},\n\tjournal = {Journal of Documentation},\n\tauthor = {Muehlberger, Guenter and Seaward, Louise and Terras, Melissa and Ares Oliveira, Sofia and Bosch, Vicente and Bryan, Maximilian and Colutto, Sebastian and Déjean, Hervé and Diem, Markus and Fiel, Stefan and Gatos, Basilis and Greinoecker, Albert and Grüning, Tobias and Hackl, Guenter and Haukkovaara, Vili and Heyer, Gerhard and Hirvonen, Lauri and Hodel, Tobias and Jokinen, Matti and Kahle, Philip and Kallio, Mario and Kaplan, Frederic and Kleber, Florian and Labahn, Roger and Lang, Eva Maria and Laube, Sören and Leifert, Gundram and Louloudis, Georgios and McNicholl, Rory and Meunier, Jean-Luc and Michael, Johannes and Mühlbauer, Elena and Philipp, Nathanael and Pratikakis, Ioannis and Puigcerver Pérez, Joan and Putz, Hannelore and Retsinas, George and Romero, Verónica and Sablatnig, Robert and Sánchez, Joan Andreu and Schofield, Philip and Sfikas, Giorgos and Sieber, Christian and Stamatopoulos, Nikolaos and Strauß, Tobias and Terbul, Tamara and Toselli, Alejandro Héctor and Ulreich, Berthold and Villegas, Mauricio and Vidal, Enrique and Walcher, Johanna and Weidemann, Max and Wurster, Herbert and Zagoris, Konstantinos},\n\tmonth = sep,\n\tyear = {2019},\n\tpages = {954--976},\n}\n\n
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\n Purpose An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded Transkribus platform. It explains HTR, demonstrates Transkribus , gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues. Design/methodology/approach This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material. Findings Transkribus has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified. Research limitations/implications The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc. Practical implications Only HTR provided via Transkribus is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field. Social implications The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals. Originality/value This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.\n
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\n  \n Simon, T.\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Usability-Analyse von digitalen Tools und Methoden in den Geisteswissenschaften.\n \n \n \n \n\n\n \n Simon, T.; Dolan, J.; Schmitt, A.; and Pagel, S.\n\n\n \n\n\n\n Gesellschaft für Informatik e.V., 2019.\n \n\n\n\n
\n\n\n\n \n \n \"Usability-AnalysePaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@book{simon_usability-analyse_2019,\n\ttitle = {Usability-{Analyse} von digitalen {Tools} und {Methoden} in den {Geisteswissenschaften}},\n\tisbn = {978-3-88579-689-3},\n\turl = {http://dl.gi.de/handle/20.500.12116/25043},\n\tabstract = {Fehlende Usability ist ein häufig auftretendes Problem von Tools aus dem geisteswissenschaftlicher Forschungskontext. In dieser Studie werden Tools, die im Editionsprozess eingesetzt werden, systematisch untersucht. Dabei wird auf einen Methodenmix aus Eyetracking und Gruppendiskussionen gesetzt. Die bisherigen Erkenntnisse geben einen Eindruck über typische Probleme, methodische Auswertungsmöglichkeiten und konkrete Empfehlungen für Verbesserungen der Tools.},\n\tlanguage = {de},\n\turldate = {2019-10-10},\n\tpublisher = {Gesellschaft für Informatik e.V.},\n\tauthor = {Simon, Tobias and Dolan, Jana and Schmitt, Alexander and Pagel, Sven},\n\tyear = {2019},\n\tdoi = {10.18420/inf2019_ws11},\n}\n
\n
\n\n\n
\n Fehlende Usability ist ein häufig auftretendes Problem von Tools aus dem geisteswissenschaftlicher Forschungskontext. In dieser Studie werden Tools, die im Editionsprozess eingesetzt werden, systematisch untersucht. Dabei wird auf einen Methodenmix aus Eyetracking und Gruppendiskussionen gesetzt. Die bisherigen Erkenntnisse geben einen Eindruck über typische Probleme, methodische Auswertungsmöglichkeiten und konkrete Empfehlungen für Verbesserungen der Tools.\n
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\n  \n Soh, L.\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Improving learning of computational thinking using creative thinking exercises in CS-1 computer science courses.\n \n \n \n \n\n\n \n Miller, L. D.; Soh, L.; Chiriacescu, V.; Ingraham, E.; Shell, D. F.; Ramsay, S.; and Hazley, M. P.\n\n\n \n\n\n\n In 2013 IEEE Frontiers in Education Conference (FIE), pages 1426–1432, Oklahoma City, OK, USA, October 2013. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"ImprovingPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{miller_improving_2013,\n\taddress = {Oklahoma City, OK, USA},\n\ttitle = {Improving learning of computational thinking using creative thinking exercises in {CS}-1 computer science courses},\n\tisbn = {978-1-4673-5261-1},\n\turl = {http://ieeexplore.ieee.org/document/6685067/},\n\tdoi = {10.1109/FIE.2013.6685067},\n\turldate = {2020-01-14},\n\tbooktitle = {2013 {IEEE} {Frontiers} in {Education} {Conference} ({FIE})},\n\tpublisher = {IEEE},\n\tauthor = {Miller, L. Dee and Soh, Leen-Kiat and Chiriacescu, Vlad and Ingraham, Elizabeth and Shell, Duane F. and Ramsay, Stephen and Hazley, Melissa Patterson},\n\tmonth = oct,\n\tyear = {2013},\n\tpages = {1426--1432},\n}\n\n
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\n  \n Stamatopoulos, N.\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Transforming scholarship in the archives through handwritten text recognition: Transkribus as a case study.\n \n \n \n \n\n\n \n Muehlberger, G.; Seaward, L.; Terras, M.; Ares Oliveira, S.; Bosch, V.; Bryan, M.; Colutto, S.; Déjean, H.; Diem, M.; Fiel, S.; Gatos, B.; Greinoecker, A.; Grüning, T.; Hackl, G.; Haukkovaara, V.; Heyer, G.; Hirvonen, L.; Hodel, T.; Jokinen, M.; Kahle, P.; Kallio, M.; Kaplan, F.; Kleber, F.; Labahn, R.; Lang, E. M.; Laube, S.; Leifert, G.; Louloudis, G.; McNicholl, R.; Meunier, J.; Michael, J.; Mühlbauer, E.; Philipp, N.; Pratikakis, I.; Puigcerver Pérez, J.; Putz, H.; Retsinas, G.; Romero, V.; Sablatnig, R.; Sánchez, J. A.; Schofield, P.; Sfikas, G.; Sieber, C.; Stamatopoulos, N.; Strauß, T.; Terbul, T.; Toselli, A. H.; Ulreich, B.; Villegas, M.; Vidal, E.; Walcher, J.; Weidemann, M.; Wurster, H.; and Zagoris, K.\n\n\n \n\n\n\n Journal of Documentation, 75(5): 954–976. September 2019.\n \n\n\n\n
\n\n\n\n \n \n \"TransformingPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{muehlberger_transforming_2019,\n\ttitle = {Transforming scholarship in the archives through handwritten text recognition: {Transkribus} as a case study},\n\tvolume = {75},\n\tissn = {0022-0418},\n\tshorttitle = {Transforming scholarship in the archives through handwritten text recognition},\n\turl = {https://www.emerald.com/insight/content/doi/10.1108/JD-07-2018-0114/full/html},\n\tdoi = {10.1108/JD-07-2018-0114},\n\tabstract = {Purpose\n              \n                An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded\n                Transkribus\n                platform. It explains HTR, demonstrates\n                Transkribus\n                , gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues.\n              \n            \n            \n              Design/methodology/approach\n              This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material.\n            \n            \n              Findings\n              \n                Transkribus\n                has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified.\n              \n            \n            \n              Research limitations/implications\n              The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc.\n            \n            \n              Practical implications\n              \n                Only HTR provided via\n                Transkribus\n                is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field.\n              \n            \n            \n              Social implications\n              The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals.\n            \n            \n              Originality/value\n              This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.},\n\tlanguage = {en},\n\tnumber = {5},\n\turldate = {2020-01-02},\n\tjournal = {Journal of Documentation},\n\tauthor = {Muehlberger, Guenter and Seaward, Louise and Terras, Melissa and Ares Oliveira, Sofia and Bosch, Vicente and Bryan, Maximilian and Colutto, Sebastian and Déjean, Hervé and Diem, Markus and Fiel, Stefan and Gatos, Basilis and Greinoecker, Albert and Grüning, Tobias and Hackl, Guenter and Haukkovaara, Vili and Heyer, Gerhard and Hirvonen, Lauri and Hodel, Tobias and Jokinen, Matti and Kahle, Philip and Kallio, Mario and Kaplan, Frederic and Kleber, Florian and Labahn, Roger and Lang, Eva Maria and Laube, Sören and Leifert, Gundram and Louloudis, Georgios and McNicholl, Rory and Meunier, Jean-Luc and Michael, Johannes and Mühlbauer, Elena and Philipp, Nathanael and Pratikakis, Ioannis and Puigcerver Pérez, Joan and Putz, Hannelore and Retsinas, George and Romero, Verónica and Sablatnig, Robert and Sánchez, Joan Andreu and Schofield, Philip and Sfikas, Giorgos and Sieber, Christian and Stamatopoulos, Nikolaos and Strauß, Tobias and Terbul, Tamara and Toselli, Alejandro Héctor and Ulreich, Berthold and Villegas, Mauricio and Vidal, Enrique and Walcher, Johanna and Weidemann, Max and Wurster, Herbert and Zagoris, Konstantinos},\n\tmonth = sep,\n\tyear = {2019},\n\tpages = {954--976},\n}\n\n
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\n Purpose An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded Transkribus platform. It explains HTR, demonstrates Transkribus , gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues. Design/methodology/approach This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material. Findings Transkribus has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified. Research limitations/implications The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc. Practical implications Only HTR provided via Transkribus is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field. Social implications The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals. Originality/value This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.\n
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\n  \n Stokes, P.\n \n \n (3)\n \n \n
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\n \n\n \n \n \n \n \n \n The eScriptorium VRE for Manuscript Cultures – Classics@ Journal.\n \n \n \n \n\n\n \n Stokes, P. A.; Kiessling, B.; Stökl Ben Ezra, D.; Tissot, R.; and El Hassane, G.\n\n\n \n\n\n\n Classics@, 18. 2021.\n \n\n\n\n
\n\n\n\n \n \n \"ThePaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{stokes_escriptorium_2021,\n\ttitle = {The {eScriptorium} {VRE} for {Manuscript} {Cultures} – {Classics}@ {Journal}},\n\tvolume = {18},\n\turl = {https://classics-at.chs.harvard.edu/the-escriptorium-vre-for-manuscript-cultures/},\n\tlanguage = {en-US},\n\turldate = {2021-08-05},\n\tjournal = {Classics@},\n\tauthor = {Stokes, Peter A. and Kiessling, Benjamin and Stökl Ben Ezra, Daniel and Tissot, Robin and El Hassane, Gargem},\n\tyear = {2021},\n}\n\n
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\n \n\n \n \n \n \n \n \n RESILIENCE Tool: eScriptorium.\n \n \n \n \n\n\n \n Stokes, P. A.\n\n\n \n\n\n\n September 2020.\n \n\n\n\n
\n\n\n\n \n \n \"RESILIENCEPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@misc{stokes_resilience_2020,\n\ttitle = {{RESILIENCE} {Tool}: {eScriptorium}},\n\tshorttitle = {{RESILIENCE} {Tool}},\n\turl = {https://www.resilience-ri.eu/blog/resilience-tool-escriptorium/},\n\tabstract = {EPHE The Digital Humanities team at the École Pratique des Hautes Études (EPHE) – University PSL has been developing this cutting-edge Deep Learning software for automatically reading and transcribing documents in many different scripts and languages. eScriptorium The purpose of eScriptorium is to provide as complete as possible a workflow for the production of digital […]},\n\turldate = {2021-08-05},\n\tjournal = {RESILIENCE},\n\tauthor = {Stokes, Peter A.},\n\tmonth = sep,\n\tyear = {2020},\n}\n\n
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\n EPHE The Digital Humanities team at the École Pratique des Hautes Études (EPHE) – University PSL has been developing this cutting-edge Deep Learning software for automatically reading and transcribing documents in many different scripts and languages. eScriptorium The purpose of eScriptorium is to provide as complete as possible a workflow for the production of digital […]\n
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\n \n\n \n \n \n \n \n eScriptorium: An Open Source Platform for Historical Document Analysis.\n \n \n \n\n\n \n Kiessling, B.; Tissot, R.; Stokes, P.; and Stökl Ben Ezra, D.\n\n\n \n\n\n\n In 2019 International Conference on Document Analysis and Recognition Workshops (ICDARW), volume 2, pages 19–19, September 2019. \n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@inproceedings{kiessling_escriptorium_2019,\n\ttitle = {{eScriptorium}: {An} {Open} {Source} {Platform} for {Historical} {Document} {Analysis}},\n\tvolume = {2},\n\tshorttitle = {{eScriptorium}},\n\tdoi = {10.1109/ICDARW.2019.10032},\n\tabstract = {We describe the new open source document analysis and annotation platform eScriptorium. It allows to upload document collections, transcribe and segment them manually or automatically with the help of the kraken OCR engine.},\n\tbooktitle = {2019 {International} {Conference} on {Document} {Analysis} and {Recognition} {Workshops} ({ICDARW})},\n\tauthor = {Kiessling, Benjamin and Tissot, Robin and Stokes, Peter and Stökl Ben Ezra, Daniel},\n\tmonth = sep,\n\tyear = {2019},\n\tkeywords = {GUI, Image segmentation, Layout, Manuals, Metadata, Training, Writing, document-analysis, handwritten-text-recognition, historical-documents, layout-segmentation},\n\tpages = {19--19},\n}\n\n
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\n We describe the new open source document analysis and annotation platform eScriptorium. It allows to upload document collections, transcribe and segment them manually or automatically with the help of the kraken OCR engine.\n
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\n  \n Strauß, T.\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Transforming scholarship in the archives through handwritten text recognition: Transkribus as a case study.\n \n \n \n \n\n\n \n Muehlberger, G.; Seaward, L.; Terras, M.; Ares Oliveira, S.; Bosch, V.; Bryan, M.; Colutto, S.; Déjean, H.; Diem, M.; Fiel, S.; Gatos, B.; Greinoecker, A.; Grüning, T.; Hackl, G.; Haukkovaara, V.; Heyer, G.; Hirvonen, L.; Hodel, T.; Jokinen, M.; Kahle, P.; Kallio, M.; Kaplan, F.; Kleber, F.; Labahn, R.; Lang, E. M.; Laube, S.; Leifert, G.; Louloudis, G.; McNicholl, R.; Meunier, J.; Michael, J.; Mühlbauer, E.; Philipp, N.; Pratikakis, I.; Puigcerver Pérez, J.; Putz, H.; Retsinas, G.; Romero, V.; Sablatnig, R.; Sánchez, J. A.; Schofield, P.; Sfikas, G.; Sieber, C.; Stamatopoulos, N.; Strauß, T.; Terbul, T.; Toselli, A. H.; Ulreich, B.; Villegas, M.; Vidal, E.; Walcher, J.; Weidemann, M.; Wurster, H.; and Zagoris, K.\n\n\n \n\n\n\n Journal of Documentation, 75(5): 954–976. September 2019.\n \n\n\n\n
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@article{muehlberger_transforming_2019,\n\ttitle = {Transforming scholarship in the archives through handwritten text recognition: {Transkribus} as a case study},\n\tvolume = {75},\n\tissn = {0022-0418},\n\tshorttitle = {Transforming scholarship in the archives through handwritten text recognition},\n\turl = {https://www.emerald.com/insight/content/doi/10.1108/JD-07-2018-0114/full/html},\n\tdoi = {10.1108/JD-07-2018-0114},\n\tabstract = {Purpose\n              \n                An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded\n                Transkribus\n                platform. It explains HTR, demonstrates\n                Transkribus\n                , gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues.\n              \n            \n            \n              Design/methodology/approach\n              This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material.\n            \n            \n              Findings\n              \n                Transkribus\n                has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified.\n              \n            \n            \n              Research limitations/implications\n              The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc.\n            \n            \n              Practical implications\n              \n                Only HTR provided via\n                Transkribus\n                is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field.\n              \n            \n            \n              Social implications\n              The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals.\n            \n            \n              Originality/value\n              This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.},\n\tlanguage = {en},\n\tnumber = {5},\n\turldate = {2020-01-02},\n\tjournal = {Journal of Documentation},\n\tauthor = {Muehlberger, Guenter and Seaward, Louise and Terras, Melissa and Ares Oliveira, Sofia and Bosch, Vicente and Bryan, Maximilian and Colutto, Sebastian and Déjean, Hervé and Diem, Markus and Fiel, Stefan and Gatos, Basilis and Greinoecker, Albert and Grüning, Tobias and Hackl, Guenter and Haukkovaara, Vili and Heyer, Gerhard and Hirvonen, Lauri and Hodel, Tobias and Jokinen, Matti and Kahle, Philip and Kallio, Mario and Kaplan, Frederic and Kleber, Florian and Labahn, Roger and Lang, Eva Maria and Laube, Sören and Leifert, Gundram and Louloudis, Georgios and McNicholl, Rory and Meunier, Jean-Luc and Michael, Johannes and Mühlbauer, Elena and Philipp, Nathanael and Pratikakis, Ioannis and Puigcerver Pérez, Joan and Putz, Hannelore and Retsinas, George and Romero, Verónica and Sablatnig, Robert and Sánchez, Joan Andreu and Schofield, Philip and Sfikas, Giorgos and Sieber, Christian and Stamatopoulos, Nikolaos and Strauß, Tobias and Terbul, Tamara and Toselli, Alejandro Héctor and Ulreich, Berthold and Villegas, Mauricio and Vidal, Enrique and Walcher, Johanna and Weidemann, Max and Wurster, Herbert and Zagoris, Konstantinos},\n\tmonth = sep,\n\tyear = {2019},\n\tpages = {954--976},\n}\n\n
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\n Purpose An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded Transkribus platform. It explains HTR, demonstrates Transkribus , gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues. Design/methodology/approach This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material. Findings Transkribus has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified. Research limitations/implications The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc. Practical implications Only HTR provided via Transkribus is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field. Social implications The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals. Originality/value This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.\n
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\n  \n Stökl Ben Ezra, D.\n \n \n (2)\n \n \n
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\n \n\n \n \n \n \n \n \n The eScriptorium VRE for Manuscript Cultures – Classics@ Journal.\n \n \n \n \n\n\n \n Stokes, P. A.; Kiessling, B.; Stökl Ben Ezra, D.; Tissot, R.; and El Hassane, G.\n\n\n \n\n\n\n Classics@, 18. 2021.\n \n\n\n\n
\n\n\n\n \n \n \"ThePaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{stokes_escriptorium_2021,\n\ttitle = {The {eScriptorium} {VRE} for {Manuscript} {Cultures} – {Classics}@ {Journal}},\n\tvolume = {18},\n\turl = {https://classics-at.chs.harvard.edu/the-escriptorium-vre-for-manuscript-cultures/},\n\tlanguage = {en-US},\n\turldate = {2021-08-05},\n\tjournal = {Classics@},\n\tauthor = {Stokes, Peter A. and Kiessling, Benjamin and Stökl Ben Ezra, Daniel and Tissot, Robin and El Hassane, Gargem},\n\tyear = {2021},\n}\n\n
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\n \n\n \n \n \n \n \n eScriptorium: An Open Source Platform for Historical Document Analysis.\n \n \n \n\n\n \n Kiessling, B.; Tissot, R.; Stokes, P.; and Stökl Ben Ezra, D.\n\n\n \n\n\n\n In 2019 International Conference on Document Analysis and Recognition Workshops (ICDARW), volume 2, pages 19–19, September 2019. \n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@inproceedings{kiessling_escriptorium_2019,\n\ttitle = {{eScriptorium}: {An} {Open} {Source} {Platform} for {Historical} {Document} {Analysis}},\n\tvolume = {2},\n\tshorttitle = {{eScriptorium}},\n\tdoi = {10.1109/ICDARW.2019.10032},\n\tabstract = {We describe the new open source document analysis and annotation platform eScriptorium. It allows to upload document collections, transcribe and segment them manually or automatically with the help of the kraken OCR engine.},\n\tbooktitle = {2019 {International} {Conference} on {Document} {Analysis} and {Recognition} {Workshops} ({ICDARW})},\n\tauthor = {Kiessling, Benjamin and Tissot, Robin and Stokes, Peter and Stökl Ben Ezra, Daniel},\n\tmonth = sep,\n\tyear = {2019},\n\tkeywords = {GUI, Image segmentation, Layout, Manuals, Metadata, Training, Writing, document-analysis, handwritten-text-recognition, historical-documents, layout-segmentation},\n\tpages = {19--19},\n}\n\n
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\n We describe the new open source document analysis and annotation platform eScriptorium. It allows to upload document collections, transcribe and segment them manually or automatically with the help of the kraken OCR engine.\n
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\n  \n Sánchez, J.\n \n \n (2)\n \n \n
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\n \n\n \n \n \n \n \n TranScriptorium: a European Project on Handwritten Text Recognition.\n \n \n \n\n\n \n Sánchez, J.; Mühlberger, G.; Gatos, B.; Schofield, P.; Depuydt, K.; Davis, R.; Vidal, E.; and de Does, J.\n\n\n \n\n\n\n In Marinai, S.; and Marriott, K., editor(s), ACM Symposium on Document Engineering DOCENG, pages 227–228, 2013. ACM\n tex.crossref: conf/doceng/2013\n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{conf/doceng/SanchezMGSDDVD13,\n\ttitle = {{TranScriptorium}: a {European} {Project} on {Handwritten} {Text} {Recognition}.},\n\tbooktitle = {{ACM} {Symposium} on {Document} {Engineering} {DOCENG}},\n\tpublisher = {ACM},\n\tauthor = {Sánchez, J.A. and Mühlberger, G. and Gatos, B. and Schofield, P. and Depuydt, K. and Davis, R.M. and Vidal, E. and de Does, J.},\n\teditor = {Marinai, Simone and Marriott, Kim},\n\tyear = {2013},\n\tnote = {tex.crossref: conf/doceng/2013},\n\tpages = {227--228},\n}\n\n
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\n \n\n \n \n \n \n \n \n Transforming scholarship in the archives through handwritten text recognition: Transkribus as a case study.\n \n \n \n \n\n\n \n Muehlberger, G.; Seaward, L.; Terras, M.; Ares Oliveira, S.; Bosch, V.; Bryan, M.; Colutto, S.; Déjean, H.; Diem, M.; Fiel, S.; Gatos, B.; Greinoecker, A.; Grüning, T.; Hackl, G.; Haukkovaara, V.; Heyer, G.; Hirvonen, L.; Hodel, T.; Jokinen, M.; Kahle, P.; Kallio, M.; Kaplan, F.; Kleber, F.; Labahn, R.; Lang, E. M.; Laube, S.; Leifert, G.; Louloudis, G.; McNicholl, R.; Meunier, J.; Michael, J.; Mühlbauer, E.; Philipp, N.; Pratikakis, I.; Puigcerver Pérez, J.; Putz, H.; Retsinas, G.; Romero, V.; Sablatnig, R.; Sánchez, J. A.; Schofield, P.; Sfikas, G.; Sieber, C.; Stamatopoulos, N.; Strauß, T.; Terbul, T.; Toselli, A. H.; Ulreich, B.; Villegas, M.; Vidal, E.; Walcher, J.; Weidemann, M.; Wurster, H.; and Zagoris, K.\n\n\n \n\n\n\n Journal of Documentation, 75(5): 954–976. September 2019.\n \n\n\n\n
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@article{muehlberger_transforming_2019,\n\ttitle = {Transforming scholarship in the archives through handwritten text recognition: {Transkribus} as a case study},\n\tvolume = {75},\n\tissn = {0022-0418},\n\tshorttitle = {Transforming scholarship in the archives through handwritten text recognition},\n\turl = {https://www.emerald.com/insight/content/doi/10.1108/JD-07-2018-0114/full/html},\n\tdoi = {10.1108/JD-07-2018-0114},\n\tabstract = {Purpose\n              \n                An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded\n                Transkribus\n                platform. It explains HTR, demonstrates\n                Transkribus\n                , gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues.\n              \n            \n            \n              Design/methodology/approach\n              This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material.\n            \n            \n              Findings\n              \n                Transkribus\n                has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified.\n              \n            \n            \n              Research limitations/implications\n              The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc.\n            \n            \n              Practical implications\n              \n                Only HTR provided via\n                Transkribus\n                is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field.\n              \n            \n            \n              Social implications\n              The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals.\n            \n            \n              Originality/value\n              This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.},\n\tlanguage = {en},\n\tnumber = {5},\n\turldate = {2020-01-02},\n\tjournal = {Journal of Documentation},\n\tauthor = {Muehlberger, Guenter and Seaward, Louise and Terras, Melissa and Ares Oliveira, Sofia and Bosch, Vicente and Bryan, Maximilian and Colutto, Sebastian and Déjean, Hervé and Diem, Markus and Fiel, Stefan and Gatos, Basilis and Greinoecker, Albert and Grüning, Tobias and Hackl, Guenter and Haukkovaara, Vili and Heyer, Gerhard and Hirvonen, Lauri and Hodel, Tobias and Jokinen, Matti and Kahle, Philip and Kallio, Mario and Kaplan, Frederic and Kleber, Florian and Labahn, Roger and Lang, Eva Maria and Laube, Sören and Leifert, Gundram and Louloudis, Georgios and McNicholl, Rory and Meunier, Jean-Luc and Michael, Johannes and Mühlbauer, Elena and Philipp, Nathanael and Pratikakis, Ioannis and Puigcerver Pérez, Joan and Putz, Hannelore and Retsinas, George and Romero, Verónica and Sablatnig, Robert and Sánchez, Joan Andreu and Schofield, Philip and Sfikas, Giorgos and Sieber, Christian and Stamatopoulos, Nikolaos and Strauß, Tobias and Terbul, Tamara and Toselli, Alejandro Héctor and Ulreich, Berthold and Villegas, Mauricio and Vidal, Enrique and Walcher, Johanna and Weidemann, Max and Wurster, Herbert and Zagoris, Konstantinos},\n\tmonth = sep,\n\tyear = {2019},\n\tpages = {954--976},\n}\n\n
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\n Purpose An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded Transkribus platform. It explains HTR, demonstrates Transkribus , gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues. Design/methodology/approach This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material. Findings Transkribus has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified. Research limitations/implications The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc. Practical implications Only HTR provided via Transkribus is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field. Social implications The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals. Originality/value This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.\n
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\n  \n Terbul, T.\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Transforming scholarship in the archives through handwritten text recognition: Transkribus as a case study.\n \n \n \n \n\n\n \n Muehlberger, G.; Seaward, L.; Terras, M.; Ares Oliveira, S.; Bosch, V.; Bryan, M.; Colutto, S.; Déjean, H.; Diem, M.; Fiel, S.; Gatos, B.; Greinoecker, A.; Grüning, T.; Hackl, G.; Haukkovaara, V.; Heyer, G.; Hirvonen, L.; Hodel, T.; Jokinen, M.; Kahle, P.; Kallio, M.; Kaplan, F.; Kleber, F.; Labahn, R.; Lang, E. M.; Laube, S.; Leifert, G.; Louloudis, G.; McNicholl, R.; Meunier, J.; Michael, J.; Mühlbauer, E.; Philipp, N.; Pratikakis, I.; Puigcerver Pérez, J.; Putz, H.; Retsinas, G.; Romero, V.; Sablatnig, R.; Sánchez, J. A.; Schofield, P.; Sfikas, G.; Sieber, C.; Stamatopoulos, N.; Strauß, T.; Terbul, T.; Toselli, A. H.; Ulreich, B.; Villegas, M.; Vidal, E.; Walcher, J.; Weidemann, M.; Wurster, H.; and Zagoris, K.\n\n\n \n\n\n\n Journal of Documentation, 75(5): 954–976. September 2019.\n \n\n\n\n
\n\n\n\n \n \n \"TransformingPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{muehlberger_transforming_2019,\n\ttitle = {Transforming scholarship in the archives through handwritten text recognition: {Transkribus} as a case study},\n\tvolume = {75},\n\tissn = {0022-0418},\n\tshorttitle = {Transforming scholarship in the archives through handwritten text recognition},\n\turl = {https://www.emerald.com/insight/content/doi/10.1108/JD-07-2018-0114/full/html},\n\tdoi = {10.1108/JD-07-2018-0114},\n\tabstract = {Purpose\n              \n                An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded\n                Transkribus\n                platform. It explains HTR, demonstrates\n                Transkribus\n                , gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues.\n              \n            \n            \n              Design/methodology/approach\n              This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material.\n            \n            \n              Findings\n              \n                Transkribus\n                has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified.\n              \n            \n            \n              Research limitations/implications\n              The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc.\n            \n            \n              Practical implications\n              \n                Only HTR provided via\n                Transkribus\n                is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field.\n              \n            \n            \n              Social implications\n              The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals.\n            \n            \n              Originality/value\n              This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.},\n\tlanguage = {en},\n\tnumber = {5},\n\turldate = {2020-01-02},\n\tjournal = {Journal of Documentation},\n\tauthor = {Muehlberger, Guenter and Seaward, Louise and Terras, Melissa and Ares Oliveira, Sofia and Bosch, Vicente and Bryan, Maximilian and Colutto, Sebastian and Déjean, Hervé and Diem, Markus and Fiel, Stefan and Gatos, Basilis and Greinoecker, Albert and Grüning, Tobias and Hackl, Guenter and Haukkovaara, Vili and Heyer, Gerhard and Hirvonen, Lauri and Hodel, Tobias and Jokinen, Matti and Kahle, Philip and Kallio, Mario and Kaplan, Frederic and Kleber, Florian and Labahn, Roger and Lang, Eva Maria and Laube, Sören and Leifert, Gundram and Louloudis, Georgios and McNicholl, Rory and Meunier, Jean-Luc and Michael, Johannes and Mühlbauer, Elena and Philipp, Nathanael and Pratikakis, Ioannis and Puigcerver Pérez, Joan and Putz, Hannelore and Retsinas, George and Romero, Verónica and Sablatnig, Robert and Sánchez, Joan Andreu and Schofield, Philip and Sfikas, Giorgos and Sieber, Christian and Stamatopoulos, Nikolaos and Strauß, Tobias and Terbul, Tamara and Toselli, Alejandro Héctor and Ulreich, Berthold and Villegas, Mauricio and Vidal, Enrique and Walcher, Johanna and Weidemann, Max and Wurster, Herbert and Zagoris, Konstantinos},\n\tmonth = sep,\n\tyear = {2019},\n\tpages = {954--976},\n}\n\n
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\n Purpose An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded Transkribus platform. It explains HTR, demonstrates Transkribus , gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues. Design/methodology/approach This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material. Findings Transkribus has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified. Research limitations/implications The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc. Practical implications Only HTR provided via Transkribus is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field. Social implications The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals. Originality/value This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.\n
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\n  \n Terras, M.\n \n \n (2)\n \n \n
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\n \n\n \n \n \n \n \n \n Transforming scholarship in the archives through handwritten text recognition: Transkribus as a case study.\n \n \n \n \n\n\n \n Muehlberger, G.; Seaward, L.; Terras, M.; Ares Oliveira, S.; Bosch, V.; Bryan, M.; Colutto, S.; Déjean, H.; Diem, M.; Fiel, S.; Gatos, B.; Greinoecker, A.; Grüning, T.; Hackl, G.; Haukkovaara, V.; Heyer, G.; Hirvonen, L.; Hodel, T.; Jokinen, M.; Kahle, P.; Kallio, M.; Kaplan, F.; Kleber, F.; Labahn, R.; Lang, E. M.; Laube, S.; Leifert, G.; Louloudis, G.; McNicholl, R.; Meunier, J.; Michael, J.; Mühlbauer, E.; Philipp, N.; Pratikakis, I.; Puigcerver Pérez, J.; Putz, H.; Retsinas, G.; Romero, V.; Sablatnig, R.; Sánchez, J. A.; Schofield, P.; Sfikas, G.; Sieber, C.; Stamatopoulos, N.; Strauß, T.; Terbul, T.; Toselli, A. H.; Ulreich, B.; Villegas, M.; Vidal, E.; Walcher, J.; Weidemann, M.; Wurster, H.; and Zagoris, K.\n\n\n \n\n\n\n Journal of Documentation, 75(5): 954–976. September 2019.\n \n\n\n\n
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@article{muehlberger_transforming_2019,\n\ttitle = {Transforming scholarship in the archives through handwritten text recognition: {Transkribus} as a case study},\n\tvolume = {75},\n\tissn = {0022-0418},\n\tshorttitle = {Transforming scholarship in the archives through handwritten text recognition},\n\turl = {https://www.emerald.com/insight/content/doi/10.1108/JD-07-2018-0114/full/html},\n\tdoi = {10.1108/JD-07-2018-0114},\n\tabstract = {Purpose\n              \n                An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded\n                Transkribus\n                platform. It explains HTR, demonstrates\n                Transkribus\n                , gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues.\n              \n            \n            \n              Design/methodology/approach\n              This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material.\n            \n            \n              Findings\n              \n                Transkribus\n                has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified.\n              \n            \n            \n              Research limitations/implications\n              The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc.\n            \n            \n              Practical implications\n              \n                Only HTR provided via\n                Transkribus\n                is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field.\n              \n            \n            \n              Social implications\n              The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals.\n            \n            \n              Originality/value\n              This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.},\n\tlanguage = {en},\n\tnumber = {5},\n\turldate = {2020-01-02},\n\tjournal = {Journal of Documentation},\n\tauthor = {Muehlberger, Guenter and Seaward, Louise and Terras, Melissa and Ares Oliveira, Sofia and Bosch, Vicente and Bryan, Maximilian and Colutto, Sebastian and Déjean, Hervé and Diem, Markus and Fiel, Stefan and Gatos, Basilis and Greinoecker, Albert and Grüning, Tobias and Hackl, Guenter and Haukkovaara, Vili and Heyer, Gerhard and Hirvonen, Lauri and Hodel, Tobias and Jokinen, Matti and Kahle, Philip and Kallio, Mario and Kaplan, Frederic and Kleber, Florian and Labahn, Roger and Lang, Eva Maria and Laube, Sören and Leifert, Gundram and Louloudis, Georgios and McNicholl, Rory and Meunier, Jean-Luc and Michael, Johannes and Mühlbauer, Elena and Philipp, Nathanael and Pratikakis, Ioannis and Puigcerver Pérez, Joan and Putz, Hannelore and Retsinas, George and Romero, Verónica and Sablatnig, Robert and Sánchez, Joan Andreu and Schofield, Philip and Sfikas, Giorgos and Sieber, Christian and Stamatopoulos, Nikolaos and Strauß, Tobias and Terbul, Tamara and Toselli, Alejandro Héctor and Ulreich, Berthold and Villegas, Mauricio and Vidal, Enrique and Walcher, Johanna and Weidemann, Max and Wurster, Herbert and Zagoris, Konstantinos},\n\tmonth = sep,\n\tyear = {2019},\n\tpages = {954--976},\n}\n\n
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\n Purpose An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded Transkribus platform. It explains HTR, demonstrates Transkribus , gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues. Design/methodology/approach This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material. Findings Transkribus has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified. Research limitations/implications The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc. Practical implications Only HTR provided via Transkribus is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field. Social implications The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals. Originality/value This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.\n
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\n \n\n \n \n \n \n \n \n How open is OpenGLAM? Identifying barriers to commercial and non-commercial reuse of digitised art images.\n \n \n \n \n\n\n \n Valeonti, F.; Terras, M.; and Hudson-Smith, A.\n\n\n \n\n\n\n Journal of Documentation, ahead-of-print(ahead-of-print). October 2019.\n \n\n\n\n
\n\n\n\n \n \n \"HowPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{valeonti_how_2019,\n\ttitle = {How open is {OpenGLAM}? {Identifying} barriers to commercial and non-commercial reuse of digitised art images},\n\tvolume = {ahead-of-print},\n\tissn = {0022-0418},\n\tshorttitle = {How open is {OpenGLAM}?},\n\turl = {https://www.emerald.com/insight/content/doi/10.1108/JD-06-2019-0109/full/html},\n\tdoi = {10.1108/JD-06-2019-0109},\n\tabstract = {Purpose\n              In recent years, OpenGLAM and the broader open license movement have been gaining momentum in the cultural heritage sector. The purpose of this paper is to examine OpenGLAM from the perspective of end users, identifying barriers for commercial and non-commercial reuse of openly licensed art images.\n            \n            \n              Design/methodology/approach\n              Following a review of the literature, the authors scope out how end users can discover institutions participating in OpenGLAM, and use case studies to examine the process they must follow to find, obtain and reuse openly licensed images from three art museums.\n            \n            \n              Findings\n              Academic literature has so far focussed on examining the risks and benefits of participation from an institutional perspective, with little done to assess OpenGLAM from the end users’ standpoint. The authors reveal that end users have to overcome a series of barriers to find, obtain and reuse open images. The three main barriers relate to image quality, image tracking and the difficulty of distinguishing open images from those that are bound by copyright.\n            \n            \n              Research limitations/implications\n              This study focusses solely on the examination of art museums and galleries. Libraries, archives and also other types of OpenGLAM museums (e.g. archaeological) stretch beyond the scope of this paper.\n            \n            \n              Practical implications\n              The authors identify practical barriers of commercial and non-commercial reuse of open images, outlining areas of improvement for participant institutions.\n            \n            \n              Originality/value\n              The authors contribute to the understudied field of research examining OpenGLAM from the end users’ perspective, outlining recommendations for end users, as well as for museums and galleries.},\n\tlanguage = {en},\n\tnumber = {ahead-of-print},\n\turldate = {2020-01-02},\n\tjournal = {Journal of Documentation},\n\tauthor = {Valeonti, Foteini and Terras, Melissa and Hudson-Smith, Andrew},\n\tmonth = oct,\n\tyear = {2019},\n}\n\n
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\n Purpose In recent years, OpenGLAM and the broader open license movement have been gaining momentum in the cultural heritage sector. The purpose of this paper is to examine OpenGLAM from the perspective of end users, identifying barriers for commercial and non-commercial reuse of openly licensed art images. Design/methodology/approach Following a review of the literature, the authors scope out how end users can discover institutions participating in OpenGLAM, and use case studies to examine the process they must follow to find, obtain and reuse openly licensed images from three art museums. Findings Academic literature has so far focussed on examining the risks and benefits of participation from an institutional perspective, with little done to assess OpenGLAM from the end users’ standpoint. The authors reveal that end users have to overcome a series of barriers to find, obtain and reuse open images. The three main barriers relate to image quality, image tracking and the difficulty of distinguishing open images from those that are bound by copyright. Research limitations/implications This study focusses solely on the examination of art museums and galleries. Libraries, archives and also other types of OpenGLAM museums (e.g. archaeological) stretch beyond the scope of this paper. Practical implications The authors identify practical barriers of commercial and non-commercial reuse of open images, outlining areas of improvement for participant institutions. Originality/value The authors contribute to the understudied field of research examining OpenGLAM from the end users’ perspective, outlining recommendations for end users, as well as for museums and galleries.\n
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\n  \n Tissot, R.\n \n \n (2)\n \n \n
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\n \n\n \n \n \n \n \n \n The eScriptorium VRE for Manuscript Cultures – Classics@ Journal.\n \n \n \n \n\n\n \n Stokes, P. A.; Kiessling, B.; Stökl Ben Ezra, D.; Tissot, R.; and El Hassane, G.\n\n\n \n\n\n\n Classics@, 18. 2021.\n \n\n\n\n
\n\n\n\n \n \n \"ThePaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{stokes_escriptorium_2021,\n\ttitle = {The {eScriptorium} {VRE} for {Manuscript} {Cultures} – {Classics}@ {Journal}},\n\tvolume = {18},\n\turl = {https://classics-at.chs.harvard.edu/the-escriptorium-vre-for-manuscript-cultures/},\n\tlanguage = {en-US},\n\turldate = {2021-08-05},\n\tjournal = {Classics@},\n\tauthor = {Stokes, Peter A. and Kiessling, Benjamin and Stökl Ben Ezra, Daniel and Tissot, Robin and El Hassane, Gargem},\n\tyear = {2021},\n}\n\n
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\n \n\n \n \n \n \n \n eScriptorium: An Open Source Platform for Historical Document Analysis.\n \n \n \n\n\n \n Kiessling, B.; Tissot, R.; Stokes, P.; and Stökl Ben Ezra, D.\n\n\n \n\n\n\n In 2019 International Conference on Document Analysis and Recognition Workshops (ICDARW), volume 2, pages 19–19, September 2019. \n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@inproceedings{kiessling_escriptorium_2019,\n\ttitle = {{eScriptorium}: {An} {Open} {Source} {Platform} for {Historical} {Document} {Analysis}},\n\tvolume = {2},\n\tshorttitle = {{eScriptorium}},\n\tdoi = {10.1109/ICDARW.2019.10032},\n\tabstract = {We describe the new open source document analysis and annotation platform eScriptorium. It allows to upload document collections, transcribe and segment them manually or automatically with the help of the kraken OCR engine.},\n\tbooktitle = {2019 {International} {Conference} on {Document} {Analysis} and {Recognition} {Workshops} ({ICDARW})},\n\tauthor = {Kiessling, Benjamin and Tissot, Robin and Stokes, Peter and Stökl Ben Ezra, Daniel},\n\tmonth = sep,\n\tyear = {2019},\n\tkeywords = {GUI, Image segmentation, Layout, Manuals, Metadata, Training, Writing, document-analysis, handwritten-text-recognition, historical-documents, layout-segmentation},\n\tpages = {19--19},\n}\n\n
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\n We describe the new open source document analysis and annotation platform eScriptorium. It allows to upload document collections, transcribe and segment them manually or automatically with the help of the kraken OCR engine.\n
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\n  \n Toselli, A.\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Transforming scholarship in the archives through handwritten text recognition: Transkribus as a case study.\n \n \n \n \n\n\n \n Muehlberger, G.; Seaward, L.; Terras, M.; Ares Oliveira, S.; Bosch, V.; Bryan, M.; Colutto, S.; Déjean, H.; Diem, M.; Fiel, S.; Gatos, B.; Greinoecker, A.; Grüning, T.; Hackl, G.; Haukkovaara, V.; Heyer, G.; Hirvonen, L.; Hodel, T.; Jokinen, M.; Kahle, P.; Kallio, M.; Kaplan, F.; Kleber, F.; Labahn, R.; Lang, E. M.; Laube, S.; Leifert, G.; Louloudis, G.; McNicholl, R.; Meunier, J.; Michael, J.; Mühlbauer, E.; Philipp, N.; Pratikakis, I.; Puigcerver Pérez, J.; Putz, H.; Retsinas, G.; Romero, V.; Sablatnig, R.; Sánchez, J. A.; Schofield, P.; Sfikas, G.; Sieber, C.; Stamatopoulos, N.; Strauß, T.; Terbul, T.; Toselli, A. H.; Ulreich, B.; Villegas, M.; Vidal, E.; Walcher, J.; Weidemann, M.; Wurster, H.; and Zagoris, K.\n\n\n \n\n\n\n Journal of Documentation, 75(5): 954–976. September 2019.\n \n\n\n\n
\n\n\n\n \n \n \"TransformingPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{muehlberger_transforming_2019,\n\ttitle = {Transforming scholarship in the archives through handwritten text recognition: {Transkribus} as a case study},\n\tvolume = {75},\n\tissn = {0022-0418},\n\tshorttitle = {Transforming scholarship in the archives through handwritten text recognition},\n\turl = {https://www.emerald.com/insight/content/doi/10.1108/JD-07-2018-0114/full/html},\n\tdoi = {10.1108/JD-07-2018-0114},\n\tabstract = {Purpose\n              \n                An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded\n                Transkribus\n                platform. It explains HTR, demonstrates\n                Transkribus\n                , gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues.\n              \n            \n            \n              Design/methodology/approach\n              This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material.\n            \n            \n              Findings\n              \n                Transkribus\n                has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified.\n              \n            \n            \n              Research limitations/implications\n              The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc.\n            \n            \n              Practical implications\n              \n                Only HTR provided via\n                Transkribus\n                is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field.\n              \n            \n            \n              Social implications\n              The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals.\n            \n            \n              Originality/value\n              This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.},\n\tlanguage = {en},\n\tnumber = {5},\n\turldate = {2020-01-02},\n\tjournal = {Journal of Documentation},\n\tauthor = {Muehlberger, Guenter and Seaward, Louise and Terras, Melissa and Ares Oliveira, Sofia and Bosch, Vicente and Bryan, Maximilian and Colutto, Sebastian and Déjean, Hervé and Diem, Markus and Fiel, Stefan and Gatos, Basilis and Greinoecker, Albert and Grüning, Tobias and Hackl, Guenter and Haukkovaara, Vili and Heyer, Gerhard and Hirvonen, Lauri and Hodel, Tobias and Jokinen, Matti and Kahle, Philip and Kallio, Mario and Kaplan, Frederic and Kleber, Florian and Labahn, Roger and Lang, Eva Maria and Laube, Sören and Leifert, Gundram and Louloudis, Georgios and McNicholl, Rory and Meunier, Jean-Luc and Michael, Johannes and Mühlbauer, Elena and Philipp, Nathanael and Pratikakis, Ioannis and Puigcerver Pérez, Joan and Putz, Hannelore and Retsinas, George and Romero, Verónica and Sablatnig, Robert and Sánchez, Joan Andreu and Schofield, Philip and Sfikas, Giorgos and Sieber, Christian and Stamatopoulos, Nikolaos and Strauß, Tobias and Terbul, Tamara and Toselli, Alejandro Héctor and Ulreich, Berthold and Villegas, Mauricio and Vidal, Enrique and Walcher, Johanna and Weidemann, Max and Wurster, Herbert and Zagoris, Konstantinos},\n\tmonth = sep,\n\tyear = {2019},\n\tpages = {954--976},\n}\n\n
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\n Purpose An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded Transkribus platform. It explains HTR, demonstrates Transkribus , gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues. Design/methodology/approach This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material. Findings Transkribus has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified. Research limitations/implications The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc. Practical implications Only HTR provided via Transkribus is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field. Social implications The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals. Originality/value This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.\n
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\n  \n Turkel, W.\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n The Programming Historian.\n \n \n \n \n\n\n \n Turkel, W. J.; and MacEachern, A.\n\n\n \n\n\n\n 2007.\n \n\n\n\n
\n\n\n\n \n \n \"ThePaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@misc{turkel_programming_2007,\n\ttitle = {The {Programming} {Historian}},\n\turl = {http://niche-canada.org/member-projects/programming-historian/ch1.html},\n\tlanguage = {en},\n\tauthor = {Turkel, William J. and MacEachern, Alan},\n\tyear = {2007},\n}\n\n
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\n  \n Ulreich, B.\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Transforming scholarship in the archives through handwritten text recognition: Transkribus as a case study.\n \n \n \n \n\n\n \n Muehlberger, G.; Seaward, L.; Terras, M.; Ares Oliveira, S.; Bosch, V.; Bryan, M.; Colutto, S.; Déjean, H.; Diem, M.; Fiel, S.; Gatos, B.; Greinoecker, A.; Grüning, T.; Hackl, G.; Haukkovaara, V.; Heyer, G.; Hirvonen, L.; Hodel, T.; Jokinen, M.; Kahle, P.; Kallio, M.; Kaplan, F.; Kleber, F.; Labahn, R.; Lang, E. M.; Laube, S.; Leifert, G.; Louloudis, G.; McNicholl, R.; Meunier, J.; Michael, J.; Mühlbauer, E.; Philipp, N.; Pratikakis, I.; Puigcerver Pérez, J.; Putz, H.; Retsinas, G.; Romero, V.; Sablatnig, R.; Sánchez, J. A.; Schofield, P.; Sfikas, G.; Sieber, C.; Stamatopoulos, N.; Strauß, T.; Terbul, T.; Toselli, A. H.; Ulreich, B.; Villegas, M.; Vidal, E.; Walcher, J.; Weidemann, M.; Wurster, H.; and Zagoris, K.\n\n\n \n\n\n\n Journal of Documentation, 75(5): 954–976. September 2019.\n \n\n\n\n
\n\n\n\n \n \n \"TransformingPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{muehlberger_transforming_2019,\n\ttitle = {Transforming scholarship in the archives through handwritten text recognition: {Transkribus} as a case study},\n\tvolume = {75},\n\tissn = {0022-0418},\n\tshorttitle = {Transforming scholarship in the archives through handwritten text recognition},\n\turl = {https://www.emerald.com/insight/content/doi/10.1108/JD-07-2018-0114/full/html},\n\tdoi = {10.1108/JD-07-2018-0114},\n\tabstract = {Purpose\n              \n                An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded\n                Transkribus\n                platform. It explains HTR, demonstrates\n                Transkribus\n                , gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues.\n              \n            \n            \n              Design/methodology/approach\n              This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material.\n            \n            \n              Findings\n              \n                Transkribus\n                has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified.\n              \n            \n            \n              Research limitations/implications\n              The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc.\n            \n            \n              Practical implications\n              \n                Only HTR provided via\n                Transkribus\n                is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field.\n              \n            \n            \n              Social implications\n              The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals.\n            \n            \n              Originality/value\n              This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.},\n\tlanguage = {en},\n\tnumber = {5},\n\turldate = {2020-01-02},\n\tjournal = {Journal of Documentation},\n\tauthor = {Muehlberger, Guenter and Seaward, Louise and Terras, Melissa and Ares Oliveira, Sofia and Bosch, Vicente and Bryan, Maximilian and Colutto, Sebastian and Déjean, Hervé and Diem, Markus and Fiel, Stefan and Gatos, Basilis and Greinoecker, Albert and Grüning, Tobias and Hackl, Guenter and Haukkovaara, Vili and Heyer, Gerhard and Hirvonen, Lauri and Hodel, Tobias and Jokinen, Matti and Kahle, Philip and Kallio, Mario and Kaplan, Frederic and Kleber, Florian and Labahn, Roger and Lang, Eva Maria and Laube, Sören and Leifert, Gundram and Louloudis, Georgios and McNicholl, Rory and Meunier, Jean-Luc and Michael, Johannes and Mühlbauer, Elena and Philipp, Nathanael and Pratikakis, Ioannis and Puigcerver Pérez, Joan and Putz, Hannelore and Retsinas, George and Romero, Verónica and Sablatnig, Robert and Sánchez, Joan Andreu and Schofield, Philip and Sfikas, Giorgos and Sieber, Christian and Stamatopoulos, Nikolaos and Strauß, Tobias and Terbul, Tamara and Toselli, Alejandro Héctor and Ulreich, Berthold and Villegas, Mauricio and Vidal, Enrique and Walcher, Johanna and Weidemann, Max and Wurster, Herbert and Zagoris, Konstantinos},\n\tmonth = sep,\n\tyear = {2019},\n\tpages = {954--976},\n}\n\n
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\n Purpose An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded Transkribus platform. It explains HTR, demonstrates Transkribus , gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues. Design/methodology/approach This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material. Findings Transkribus has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified. Research limitations/implications The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc. Practical implications Only HTR provided via Transkribus is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field. Social implications The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals. Originality/value This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.\n
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\n  \n Valeonti, F.\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n How open is OpenGLAM? Identifying barriers to commercial and non-commercial reuse of digitised art images.\n \n \n \n \n\n\n \n Valeonti, F.; Terras, M.; and Hudson-Smith, A.\n\n\n \n\n\n\n Journal of Documentation, ahead-of-print(ahead-of-print). October 2019.\n \n\n\n\n
\n\n\n\n \n \n \"HowPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{valeonti_how_2019,\n\ttitle = {How open is {OpenGLAM}? {Identifying} barriers to commercial and non-commercial reuse of digitised art images},\n\tvolume = {ahead-of-print},\n\tissn = {0022-0418},\n\tshorttitle = {How open is {OpenGLAM}?},\n\turl = {https://www.emerald.com/insight/content/doi/10.1108/JD-06-2019-0109/full/html},\n\tdoi = {10.1108/JD-06-2019-0109},\n\tabstract = {Purpose\n              In recent years, OpenGLAM and the broader open license movement have been gaining momentum in the cultural heritage sector. The purpose of this paper is to examine OpenGLAM from the perspective of end users, identifying barriers for commercial and non-commercial reuse of openly licensed art images.\n            \n            \n              Design/methodology/approach\n              Following a review of the literature, the authors scope out how end users can discover institutions participating in OpenGLAM, and use case studies to examine the process they must follow to find, obtain and reuse openly licensed images from three art museums.\n            \n            \n              Findings\n              Academic literature has so far focussed on examining the risks and benefits of participation from an institutional perspective, with little done to assess OpenGLAM from the end users’ standpoint. The authors reveal that end users have to overcome a series of barriers to find, obtain and reuse open images. The three main barriers relate to image quality, image tracking and the difficulty of distinguishing open images from those that are bound by copyright.\n            \n            \n              Research limitations/implications\n              This study focusses solely on the examination of art museums and galleries. Libraries, archives and also other types of OpenGLAM museums (e.g. archaeological) stretch beyond the scope of this paper.\n            \n            \n              Practical implications\n              The authors identify practical barriers of commercial and non-commercial reuse of open images, outlining areas of improvement for participant institutions.\n            \n            \n              Originality/value\n              The authors contribute to the understudied field of research examining OpenGLAM from the end users’ perspective, outlining recommendations for end users, as well as for museums and galleries.},\n\tlanguage = {en},\n\tnumber = {ahead-of-print},\n\turldate = {2020-01-02},\n\tjournal = {Journal of Documentation},\n\tauthor = {Valeonti, Foteini and Terras, Melissa and Hudson-Smith, Andrew},\n\tmonth = oct,\n\tyear = {2019},\n}\n\n
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\n Purpose In recent years, OpenGLAM and the broader open license movement have been gaining momentum in the cultural heritage sector. The purpose of this paper is to examine OpenGLAM from the perspective of end users, identifying barriers for commercial and non-commercial reuse of openly licensed art images. Design/methodology/approach Following a review of the literature, the authors scope out how end users can discover institutions participating in OpenGLAM, and use case studies to examine the process they must follow to find, obtain and reuse openly licensed images from three art museums. Findings Academic literature has so far focussed on examining the risks and benefits of participation from an institutional perspective, with little done to assess OpenGLAM from the end users’ standpoint. The authors reveal that end users have to overcome a series of barriers to find, obtain and reuse open images. The three main barriers relate to image quality, image tracking and the difficulty of distinguishing open images from those that are bound by copyright. Research limitations/implications This study focusses solely on the examination of art museums and galleries. Libraries, archives and also other types of OpenGLAM museums (e.g. archaeological) stretch beyond the scope of this paper. Practical implications The authors identify practical barriers of commercial and non-commercial reuse of open images, outlining areas of improvement for participant institutions. Originality/value The authors contribute to the understudied field of research examining OpenGLAM from the end users’ perspective, outlining recommendations for end users, as well as for museums and galleries.\n
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\n  \n Vidal, E.\n \n \n (2)\n \n \n
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\n \n\n \n \n \n \n \n TranScriptorium: a European Project on Handwritten Text Recognition.\n \n \n \n\n\n \n Sánchez, J.; Mühlberger, G.; Gatos, B.; Schofield, P.; Depuydt, K.; Davis, R.; Vidal, E.; and de Does, J.\n\n\n \n\n\n\n In Marinai, S.; and Marriott, K., editor(s), ACM Symposium on Document Engineering DOCENG, pages 227–228, 2013. ACM\n tex.crossref: conf/doceng/2013\n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{conf/doceng/SanchezMGSDDVD13,\n\ttitle = {{TranScriptorium}: a {European} {Project} on {Handwritten} {Text} {Recognition}.},\n\tbooktitle = {{ACM} {Symposium} on {Document} {Engineering} {DOCENG}},\n\tpublisher = {ACM},\n\tauthor = {Sánchez, J.A. and Mühlberger, G. and Gatos, B. and Schofield, P. and Depuydt, K. and Davis, R.M. and Vidal, E. and de Does, J.},\n\teditor = {Marinai, Simone and Marriott, Kim},\n\tyear = {2013},\n\tnote = {tex.crossref: conf/doceng/2013},\n\tpages = {227--228},\n}\n\n
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\n \n\n \n \n \n \n \n \n Transforming scholarship in the archives through handwritten text recognition: Transkribus as a case study.\n \n \n \n \n\n\n \n Muehlberger, G.; Seaward, L.; Terras, M.; Ares Oliveira, S.; Bosch, V.; Bryan, M.; Colutto, S.; Déjean, H.; Diem, M.; Fiel, S.; Gatos, B.; Greinoecker, A.; Grüning, T.; Hackl, G.; Haukkovaara, V.; Heyer, G.; Hirvonen, L.; Hodel, T.; Jokinen, M.; Kahle, P.; Kallio, M.; Kaplan, F.; Kleber, F.; Labahn, R.; Lang, E. M.; Laube, S.; Leifert, G.; Louloudis, G.; McNicholl, R.; Meunier, J.; Michael, J.; Mühlbauer, E.; Philipp, N.; Pratikakis, I.; Puigcerver Pérez, J.; Putz, H.; Retsinas, G.; Romero, V.; Sablatnig, R.; Sánchez, J. A.; Schofield, P.; Sfikas, G.; Sieber, C.; Stamatopoulos, N.; Strauß, T.; Terbul, T.; Toselli, A. H.; Ulreich, B.; Villegas, M.; Vidal, E.; Walcher, J.; Weidemann, M.; Wurster, H.; and Zagoris, K.\n\n\n \n\n\n\n Journal of Documentation, 75(5): 954–976. September 2019.\n \n\n\n\n
\n\n\n\n \n \n \"TransformingPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{muehlberger_transforming_2019,\n\ttitle = {Transforming scholarship in the archives through handwritten text recognition: {Transkribus} as a case study},\n\tvolume = {75},\n\tissn = {0022-0418},\n\tshorttitle = {Transforming scholarship in the archives through handwritten text recognition},\n\turl = {https://www.emerald.com/insight/content/doi/10.1108/JD-07-2018-0114/full/html},\n\tdoi = {10.1108/JD-07-2018-0114},\n\tabstract = {Purpose\n              \n                An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded\n                Transkribus\n                platform. It explains HTR, demonstrates\n                Transkribus\n                , gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues.\n              \n            \n            \n              Design/methodology/approach\n              This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material.\n            \n            \n              Findings\n              \n                Transkribus\n                has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified.\n              \n            \n            \n              Research limitations/implications\n              The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc.\n            \n            \n              Practical implications\n              \n                Only HTR provided via\n                Transkribus\n                is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field.\n              \n            \n            \n              Social implications\n              The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals.\n            \n            \n              Originality/value\n              This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.},\n\tlanguage = {en},\n\tnumber = {5},\n\turldate = {2020-01-02},\n\tjournal = {Journal of Documentation},\n\tauthor = {Muehlberger, Guenter and Seaward, Louise and Terras, Melissa and Ares Oliveira, Sofia and Bosch, Vicente and Bryan, Maximilian and Colutto, Sebastian and Déjean, Hervé and Diem, Markus and Fiel, Stefan and Gatos, Basilis and Greinoecker, Albert and Grüning, Tobias and Hackl, Guenter and Haukkovaara, Vili and Heyer, Gerhard and Hirvonen, Lauri and Hodel, Tobias and Jokinen, Matti and Kahle, Philip and Kallio, Mario and Kaplan, Frederic and Kleber, Florian and Labahn, Roger and Lang, Eva Maria and Laube, Sören and Leifert, Gundram and Louloudis, Georgios and McNicholl, Rory and Meunier, Jean-Luc and Michael, Johannes and Mühlbauer, Elena and Philipp, Nathanael and Pratikakis, Ioannis and Puigcerver Pérez, Joan and Putz, Hannelore and Retsinas, George and Romero, Verónica and Sablatnig, Robert and Sánchez, Joan Andreu and Schofield, Philip and Sfikas, Giorgos and Sieber, Christian and Stamatopoulos, Nikolaos and Strauß, Tobias and Terbul, Tamara and Toselli, Alejandro Héctor and Ulreich, Berthold and Villegas, Mauricio and Vidal, Enrique and Walcher, Johanna and Weidemann, Max and Wurster, Herbert and Zagoris, Konstantinos},\n\tmonth = sep,\n\tyear = {2019},\n\tpages = {954--976},\n}\n\n
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\n Purpose An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded Transkribus platform. It explains HTR, demonstrates Transkribus , gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues. Design/methodology/approach This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material. Findings Transkribus has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified. Research limitations/implications The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc. Practical implications Only HTR provided via Transkribus is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field. Social implications The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals. Originality/value This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.\n
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\n  \n Villegas, M.\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Transforming scholarship in the archives through handwritten text recognition: Transkribus as a case study.\n \n \n \n \n\n\n \n Muehlberger, G.; Seaward, L.; Terras, M.; Ares Oliveira, S.; Bosch, V.; Bryan, M.; Colutto, S.; Déjean, H.; Diem, M.; Fiel, S.; Gatos, B.; Greinoecker, A.; Grüning, T.; Hackl, G.; Haukkovaara, V.; Heyer, G.; Hirvonen, L.; Hodel, T.; Jokinen, M.; Kahle, P.; Kallio, M.; Kaplan, F.; Kleber, F.; Labahn, R.; Lang, E. M.; Laube, S.; Leifert, G.; Louloudis, G.; McNicholl, R.; Meunier, J.; Michael, J.; Mühlbauer, E.; Philipp, N.; Pratikakis, I.; Puigcerver Pérez, J.; Putz, H.; Retsinas, G.; Romero, V.; Sablatnig, R.; Sánchez, J. A.; Schofield, P.; Sfikas, G.; Sieber, C.; Stamatopoulos, N.; Strauß, T.; Terbul, T.; Toselli, A. H.; Ulreich, B.; Villegas, M.; Vidal, E.; Walcher, J.; Weidemann, M.; Wurster, H.; and Zagoris, K.\n\n\n \n\n\n\n Journal of Documentation, 75(5): 954–976. September 2019.\n \n\n\n\n
\n\n\n\n \n \n \"TransformingPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{muehlberger_transforming_2019,\n\ttitle = {Transforming scholarship in the archives through handwritten text recognition: {Transkribus} as a case study},\n\tvolume = {75},\n\tissn = {0022-0418},\n\tshorttitle = {Transforming scholarship in the archives through handwritten text recognition},\n\turl = {https://www.emerald.com/insight/content/doi/10.1108/JD-07-2018-0114/full/html},\n\tdoi = {10.1108/JD-07-2018-0114},\n\tabstract = {Purpose\n              \n                An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded\n                Transkribus\n                platform. It explains HTR, demonstrates\n                Transkribus\n                , gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues.\n              \n            \n            \n              Design/methodology/approach\n              This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material.\n            \n            \n              Findings\n              \n                Transkribus\n                has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified.\n              \n            \n            \n              Research limitations/implications\n              The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc.\n            \n            \n              Practical implications\n              \n                Only HTR provided via\n                Transkribus\n                is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field.\n              \n            \n            \n              Social implications\n              The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals.\n            \n            \n              Originality/value\n              This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.},\n\tlanguage = {en},\n\tnumber = {5},\n\turldate = {2020-01-02},\n\tjournal = {Journal of Documentation},\n\tauthor = {Muehlberger, Guenter and Seaward, Louise and Terras, Melissa and Ares Oliveira, Sofia and Bosch, Vicente and Bryan, Maximilian and Colutto, Sebastian and Déjean, Hervé and Diem, Markus and Fiel, Stefan and Gatos, Basilis and Greinoecker, Albert and Grüning, Tobias and Hackl, Guenter and Haukkovaara, Vili and Heyer, Gerhard and Hirvonen, Lauri and Hodel, Tobias and Jokinen, Matti and Kahle, Philip and Kallio, Mario and Kaplan, Frederic and Kleber, Florian and Labahn, Roger and Lang, Eva Maria and Laube, Sören and Leifert, Gundram and Louloudis, Georgios and McNicholl, Rory and Meunier, Jean-Luc and Michael, Johannes and Mühlbauer, Elena and Philipp, Nathanael and Pratikakis, Ioannis and Puigcerver Pérez, Joan and Putz, Hannelore and Retsinas, George and Romero, Verónica and Sablatnig, Robert and Sánchez, Joan Andreu and Schofield, Philip and Sfikas, Giorgos and Sieber, Christian and Stamatopoulos, Nikolaos and Strauß, Tobias and Terbul, Tamara and Toselli, Alejandro Héctor and Ulreich, Berthold and Villegas, Mauricio and Vidal, Enrique and Walcher, Johanna and Weidemann, Max and Wurster, Herbert and Zagoris, Konstantinos},\n\tmonth = sep,\n\tyear = {2019},\n\tpages = {954--976},\n}\n\n
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\n Purpose An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded Transkribus platform. It explains HTR, demonstrates Transkribus , gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues. Design/methodology/approach This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material. Findings Transkribus has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified. Research limitations/implications The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc. Practical implications Only HTR provided via Transkribus is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field. Social implications The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals. Originality/value This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.\n
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\n  \n Vobl, T.\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n PoCoTo - an Open Source System for Efficient Interactive Postcorrection of OCRed Historical Texts.\n \n \n \n \n\n\n \n Vobl, T.; Gotscharek, A.; Reffle, U.; Ringlstetter, C.; and Schulz, K. U.\n\n\n \n\n\n\n In Proceedings of the First International Conference on Digital Access to Textual Cultural Heritage, of DATeCH '14, pages 57–61, New York, NY, USA, 2014. ACM\n \n\n\n\n
\n\n\n\n \n \n \"PoCoToPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n\n\n\n
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@inproceedings{vobl_pocoto_2014,\n\taddress = {New York, NY, USA},\n\tseries = {{DATeCH} '14},\n\ttitle = {{PoCoTo} - an {Open} {Source} {System} for {Efficient} {Interactive} {Postcorrection} of {OCRed} {Historical} {Texts}},\n\tisbn = {978-1-4503-2588-2},\n\turl = {http://doi.acm.org/10.1145/2595188.2595197},\n\tdoi = {10.1145/2595188.2595197},\n\tabstract = {When applied to historical texts, OCR engines often produce a non-negligible number of OCR errors. For research in the Humanities, text mining and retrieval, the option is important to improve the quality of OCRed historical texts using interactive postcorrection. We describe a system for interactive postcorrection of OCRed historical documents developed in the EU project IMPACT. Various advanced features of the system help to efficiently correct texts. Language technology used in the background takes orthographic variation in historical language into account. Using this knowledge, the tool visualizes possible OCR errors and series of similar possible OCR errors in a given input document. Error series can be corrected in one shot. Practical user tests in three major European libraries have shown that the system considerably reduces the time needed by human correctors to eliminate a certain number of OCR errors. The system has been published as an open source tool under GitHub.},\n\tbooktitle = {Proceedings of the {First} {International} {Conference} on {Digital} {Access} to {Textual} {Cultural} {Heritage}},\n\tpublisher = {ACM},\n\tauthor = {Vobl, Thorsten and Gotscharek, Annette and Reffle, Uli and Ringlstetter, Christoph and Schulz, Klaus U.},\n\tyear = {2014},\n\tkeywords = {decision support, error correction, user interfaces},\n\tpages = {57--61},\n}\n\n
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\n When applied to historical texts, OCR engines often produce a non-negligible number of OCR errors. For research in the Humanities, text mining and retrieval, the option is important to improve the quality of OCRed historical texts using interactive postcorrection. We describe a system for interactive postcorrection of OCRed historical documents developed in the EU project IMPACT. Various advanced features of the system help to efficiently correct texts. Language technology used in the background takes orthographic variation in historical language into account. Using this knowledge, the tool visualizes possible OCR errors and series of similar possible OCR errors in a given input document. Error series can be corrected in one shot. Practical user tests in three major European libraries have shown that the system considerably reduces the time needed by human correctors to eliminate a certain number of OCR errors. The system has been published as an open source tool under GitHub.\n
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\n  \n Vogl, M.\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n Impact and usability for digital humanities research infrastructures.\n \n \n \n\n\n \n Vogl, M.\n\n\n \n\n\n\n ,30. .\n \n\n\n\n
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@article{vogl_impact_nodate,\n\ttitle = {Impact and usability for digital humanities research infrastructures},\n\tlanguage = {en},\n\tauthor = {Vogl, Malte},\n\tpages = {30},\n}\n\n
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\n  \n Walcher, J.\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Transforming scholarship in the archives through handwritten text recognition: Transkribus as a case study.\n \n \n \n \n\n\n \n Muehlberger, G.; Seaward, L.; Terras, M.; Ares Oliveira, S.; Bosch, V.; Bryan, M.; Colutto, S.; Déjean, H.; Diem, M.; Fiel, S.; Gatos, B.; Greinoecker, A.; Grüning, T.; Hackl, G.; Haukkovaara, V.; Heyer, G.; Hirvonen, L.; Hodel, T.; Jokinen, M.; Kahle, P.; Kallio, M.; Kaplan, F.; Kleber, F.; Labahn, R.; Lang, E. M.; Laube, S.; Leifert, G.; Louloudis, G.; McNicholl, R.; Meunier, J.; Michael, J.; Mühlbauer, E.; Philipp, N.; Pratikakis, I.; Puigcerver Pérez, J.; Putz, H.; Retsinas, G.; Romero, V.; Sablatnig, R.; Sánchez, J. A.; Schofield, P.; Sfikas, G.; Sieber, C.; Stamatopoulos, N.; Strauß, T.; Terbul, T.; Toselli, A. H.; Ulreich, B.; Villegas, M.; Vidal, E.; Walcher, J.; Weidemann, M.; Wurster, H.; and Zagoris, K.\n\n\n \n\n\n\n Journal of Documentation, 75(5): 954–976. September 2019.\n \n\n\n\n
\n\n\n\n \n \n \"TransformingPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{muehlberger_transforming_2019,\n\ttitle = {Transforming scholarship in the archives through handwritten text recognition: {Transkribus} as a case study},\n\tvolume = {75},\n\tissn = {0022-0418},\n\tshorttitle = {Transforming scholarship in the archives through handwritten text recognition},\n\turl = {https://www.emerald.com/insight/content/doi/10.1108/JD-07-2018-0114/full/html},\n\tdoi = {10.1108/JD-07-2018-0114},\n\tabstract = {Purpose\n              \n                An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded\n                Transkribus\n                platform. It explains HTR, demonstrates\n                Transkribus\n                , gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues.\n              \n            \n            \n              Design/methodology/approach\n              This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material.\n            \n            \n              Findings\n              \n                Transkribus\n                has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified.\n              \n            \n            \n              Research limitations/implications\n              The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc.\n            \n            \n              Practical implications\n              \n                Only HTR provided via\n                Transkribus\n                is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field.\n              \n            \n            \n              Social implications\n              The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals.\n            \n            \n              Originality/value\n              This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.},\n\tlanguage = {en},\n\tnumber = {5},\n\turldate = {2020-01-02},\n\tjournal = {Journal of Documentation},\n\tauthor = {Muehlberger, Guenter and Seaward, Louise and Terras, Melissa and Ares Oliveira, Sofia and Bosch, Vicente and Bryan, Maximilian and Colutto, Sebastian and Déjean, Hervé and Diem, Markus and Fiel, Stefan and Gatos, Basilis and Greinoecker, Albert and Grüning, Tobias and Hackl, Guenter and Haukkovaara, Vili and Heyer, Gerhard and Hirvonen, Lauri and Hodel, Tobias and Jokinen, Matti and Kahle, Philip and Kallio, Mario and Kaplan, Frederic and Kleber, Florian and Labahn, Roger and Lang, Eva Maria and Laube, Sören and Leifert, Gundram and Louloudis, Georgios and McNicholl, Rory and Meunier, Jean-Luc and Michael, Johannes and Mühlbauer, Elena and Philipp, Nathanael and Pratikakis, Ioannis and Puigcerver Pérez, Joan and Putz, Hannelore and Retsinas, George and Romero, Verónica and Sablatnig, Robert and Sánchez, Joan Andreu and Schofield, Philip and Sfikas, Giorgos and Sieber, Christian and Stamatopoulos, Nikolaos and Strauß, Tobias and Terbul, Tamara and Toselli, Alejandro Héctor and Ulreich, Berthold and Villegas, Mauricio and Vidal, Enrique and Walcher, Johanna and Weidemann, Max and Wurster, Herbert and Zagoris, Konstantinos},\n\tmonth = sep,\n\tyear = {2019},\n\tpages = {954--976},\n}\n\n
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\n Purpose An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded Transkribus platform. It explains HTR, demonstrates Transkribus , gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues. Design/methodology/approach This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material. Findings Transkribus has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified. Research limitations/implications The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc. Practical implications Only HTR provided via Transkribus is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field. Social implications The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals. Originality/value This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.\n
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\n  \n Weidemann, M.\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Transforming scholarship in the archives through handwritten text recognition: Transkribus as a case study.\n \n \n \n \n\n\n \n Muehlberger, G.; Seaward, L.; Terras, M.; Ares Oliveira, S.; Bosch, V.; Bryan, M.; Colutto, S.; Déjean, H.; Diem, M.; Fiel, S.; Gatos, B.; Greinoecker, A.; Grüning, T.; Hackl, G.; Haukkovaara, V.; Heyer, G.; Hirvonen, L.; Hodel, T.; Jokinen, M.; Kahle, P.; Kallio, M.; Kaplan, F.; Kleber, F.; Labahn, R.; Lang, E. M.; Laube, S.; Leifert, G.; Louloudis, G.; McNicholl, R.; Meunier, J.; Michael, J.; Mühlbauer, E.; Philipp, N.; Pratikakis, I.; Puigcerver Pérez, J.; Putz, H.; Retsinas, G.; Romero, V.; Sablatnig, R.; Sánchez, J. A.; Schofield, P.; Sfikas, G.; Sieber, C.; Stamatopoulos, N.; Strauß, T.; Terbul, T.; Toselli, A. H.; Ulreich, B.; Villegas, M.; Vidal, E.; Walcher, J.; Weidemann, M.; Wurster, H.; and Zagoris, K.\n\n\n \n\n\n\n Journal of Documentation, 75(5): 954–976. September 2019.\n \n\n\n\n
\n\n\n\n \n \n \"TransformingPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{muehlberger_transforming_2019,\n\ttitle = {Transforming scholarship in the archives through handwritten text recognition: {Transkribus} as a case study},\n\tvolume = {75},\n\tissn = {0022-0418},\n\tshorttitle = {Transforming scholarship in the archives through handwritten text recognition},\n\turl = {https://www.emerald.com/insight/content/doi/10.1108/JD-07-2018-0114/full/html},\n\tdoi = {10.1108/JD-07-2018-0114},\n\tabstract = {Purpose\n              \n                An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded\n                Transkribus\n                platform. It explains HTR, demonstrates\n                Transkribus\n                , gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues.\n              \n            \n            \n              Design/methodology/approach\n              This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material.\n            \n            \n              Findings\n              \n                Transkribus\n                has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified.\n              \n            \n            \n              Research limitations/implications\n              The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc.\n            \n            \n              Practical implications\n              \n                Only HTR provided via\n                Transkribus\n                is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field.\n              \n            \n            \n              Social implications\n              The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals.\n            \n            \n              Originality/value\n              This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.},\n\tlanguage = {en},\n\tnumber = {5},\n\turldate = {2020-01-02},\n\tjournal = {Journal of Documentation},\n\tauthor = {Muehlberger, Guenter and Seaward, Louise and Terras, Melissa and Ares Oliveira, Sofia and Bosch, Vicente and Bryan, Maximilian and Colutto, Sebastian and Déjean, Hervé and Diem, Markus and Fiel, Stefan and Gatos, Basilis and Greinoecker, Albert and Grüning, Tobias and Hackl, Guenter and Haukkovaara, Vili and Heyer, Gerhard and Hirvonen, Lauri and Hodel, Tobias and Jokinen, Matti and Kahle, Philip and Kallio, Mario and Kaplan, Frederic and Kleber, Florian and Labahn, Roger and Lang, Eva Maria and Laube, Sören and Leifert, Gundram and Louloudis, Georgios and McNicholl, Rory and Meunier, Jean-Luc and Michael, Johannes and Mühlbauer, Elena and Philipp, Nathanael and Pratikakis, Ioannis and Puigcerver Pérez, Joan and Putz, Hannelore and Retsinas, George and Romero, Verónica and Sablatnig, Robert and Sánchez, Joan Andreu and Schofield, Philip and Sfikas, Giorgos and Sieber, Christian and Stamatopoulos, Nikolaos and Strauß, Tobias and Terbul, Tamara and Toselli, Alejandro Héctor and Ulreich, Berthold and Villegas, Mauricio and Vidal, Enrique and Walcher, Johanna and Weidemann, Max and Wurster, Herbert and Zagoris, Konstantinos},\n\tmonth = sep,\n\tyear = {2019},\n\tpages = {954--976},\n}\n\n
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\n Purpose An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded Transkribus platform. It explains HTR, demonstrates Transkribus , gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues. Design/methodology/approach This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material. Findings Transkribus has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified. Research limitations/implications The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc. Practical implications Only HTR provided via Transkribus is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field. Social implications The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals. Originality/value This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.\n
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\n  \n Weigend, M.\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n Python 3 für Studium und Ausbildung. Einfach lernen und professionell anwenden.\n \n \n \n\n\n \n Weigend, M.\n\n\n \n\n\n\n of mitp ProfessionalMITP, Frechen, 1. Auflage edition, 2022.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@book{weigend2022,\n\taddress = {Frechen},\n\tedition = {1. Auflage},\n\tseries = {mitp {Professional}},\n\ttitle = {Python 3 für {Studium} und {Ausbildung}. {Einfach} lernen und professionell anwenden},\n\tisbn = {978-3-7475-0435-2 978-3-7475-0434-5},\n\tshorttitle = {Python 3 für {Studium} und {Ausbildung}},\n\tlanguage = {ger},\n\tpublisher = {MITP},\n\tauthor = {Weigend, Michael},\n\tyear = {2022},\n\tkeywords = {Einführung, Programmieren, Python 3, Software \\& Tools},\n}\n\n
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\n  \n Wicentowski, J.\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n XQuery for humanists.\n \n \n \n\n\n \n Anderson, C. B; and Wicentowski, J. C.\n\n\n \n\n\n\n 2020.\n OCLC: 1179052067\n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@book{anderson_xquery_2020,\n\ttitle = {{XQuery} for humanists},\n\tisbn = {978-1-62349-829-0},\n\tabstract = {Why XQuery for humanists? -- Setting up your XQuery environment -- Reviewing XML and related standards -- Finding your way around with XPath -- XQuery basics -- Next steps with XQuery -- Advanced XQuery -- Thinking functionally -- Modifying your data with XQuery update -- Searching with XQuery full text -- Handling errors gracefully -- Using XQuery with other digital humanities tools -- Conclusion. ""XQuery for Humanists" provides an informed, opinionated overview and recommends the best implementations, libraries, and paradigms to empower those who need it most. Emphasizing practical applicability, the authors go beyond the XQuery language to include the basics of underlying standards like XPath, related standards like XQuery Full Text and XQuery Update, and explain the difference between XQuery and languages like Python and R. This book will afford readers the skills they need to build and analyze large-scale documentary corpora in XML. A ready-reference for faculty, graduate students, and librarians who seek to master XQuery for their projects."},\n\tlanguage = {English},\n\tauthor = {Anderson, Clifford B and Wicentowski, Joseph Charles},\n\tyear = {2020},\n\tnote = {OCLC: 1179052067},\n}\n\n
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\n Why XQuery for humanists? – Setting up your XQuery environment – Reviewing XML and related standards – Finding your way around with XPath – XQuery basics – Next steps with XQuery – Advanced XQuery – Thinking functionally – Modifying your data with XQuery update – Searching with XQuery full text – Handling errors gracefully – Using XQuery with other digital humanities tools – Conclusion. \"\"XQuery for Humanists\" provides an informed, opinionated overview and recommends the best implementations, libraries, and paradigms to empower those who need it most. Emphasizing practical applicability, the authors go beyond the XQuery language to include the basics of underlying standards like XPath, related standards like XQuery Full Text and XQuery Update, and explain the difference between XQuery and languages like Python and R. This book will afford readers the skills they need to build and analyze large-scale documentary corpora in XML. A ready-reference for faculty, graduate students, and librarians who seek to master XQuery for their projects.\"\n
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\n  \n Wurster, H.\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Transforming scholarship in the archives through handwritten text recognition: Transkribus as a case study.\n \n \n \n \n\n\n \n Muehlberger, G.; Seaward, L.; Terras, M.; Ares Oliveira, S.; Bosch, V.; Bryan, M.; Colutto, S.; Déjean, H.; Diem, M.; Fiel, S.; Gatos, B.; Greinoecker, A.; Grüning, T.; Hackl, G.; Haukkovaara, V.; Heyer, G.; Hirvonen, L.; Hodel, T.; Jokinen, M.; Kahle, P.; Kallio, M.; Kaplan, F.; Kleber, F.; Labahn, R.; Lang, E. M.; Laube, S.; Leifert, G.; Louloudis, G.; McNicholl, R.; Meunier, J.; Michael, J.; Mühlbauer, E.; Philipp, N.; Pratikakis, I.; Puigcerver Pérez, J.; Putz, H.; Retsinas, G.; Romero, V.; Sablatnig, R.; Sánchez, J. A.; Schofield, P.; Sfikas, G.; Sieber, C.; Stamatopoulos, N.; Strauß, T.; Terbul, T.; Toselli, A. H.; Ulreich, B.; Villegas, M.; Vidal, E.; Walcher, J.; Weidemann, M.; Wurster, H.; and Zagoris, K.\n\n\n \n\n\n\n Journal of Documentation, 75(5): 954–976. September 2019.\n \n\n\n\n
\n\n\n\n \n \n \"TransformingPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{muehlberger_transforming_2019,\n\ttitle = {Transforming scholarship in the archives through handwritten text recognition: {Transkribus} as a case study},\n\tvolume = {75},\n\tissn = {0022-0418},\n\tshorttitle = {Transforming scholarship in the archives through handwritten text recognition},\n\turl = {https://www.emerald.com/insight/content/doi/10.1108/JD-07-2018-0114/full/html},\n\tdoi = {10.1108/JD-07-2018-0114},\n\tabstract = {Purpose\n              \n                An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded\n                Transkribus\n                platform. It explains HTR, demonstrates\n                Transkribus\n                , gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues.\n              \n            \n            \n              Design/methodology/approach\n              This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material.\n            \n            \n              Findings\n              \n                Transkribus\n                has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified.\n              \n            \n            \n              Research limitations/implications\n              The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc.\n            \n            \n              Practical implications\n              \n                Only HTR provided via\n                Transkribus\n                is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field.\n              \n            \n            \n              Social implications\n              The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals.\n            \n            \n              Originality/value\n              This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.},\n\tlanguage = {en},\n\tnumber = {5},\n\turldate = {2020-01-02},\n\tjournal = {Journal of Documentation},\n\tauthor = {Muehlberger, Guenter and Seaward, Louise and Terras, Melissa and Ares Oliveira, Sofia and Bosch, Vicente and Bryan, Maximilian and Colutto, Sebastian and Déjean, Hervé and Diem, Markus and Fiel, Stefan and Gatos, Basilis and Greinoecker, Albert and Grüning, Tobias and Hackl, Guenter and Haukkovaara, Vili and Heyer, Gerhard and Hirvonen, Lauri and Hodel, Tobias and Jokinen, Matti and Kahle, Philip and Kallio, Mario and Kaplan, Frederic and Kleber, Florian and Labahn, Roger and Lang, Eva Maria and Laube, Sören and Leifert, Gundram and Louloudis, Georgios and McNicholl, Rory and Meunier, Jean-Luc and Michael, Johannes and Mühlbauer, Elena and Philipp, Nathanael and Pratikakis, Ioannis and Puigcerver Pérez, Joan and Putz, Hannelore and Retsinas, George and Romero, Verónica and Sablatnig, Robert and Sánchez, Joan Andreu and Schofield, Philip and Sfikas, Giorgos and Sieber, Christian and Stamatopoulos, Nikolaos and Strauß, Tobias and Terbul, Tamara and Toselli, Alejandro Héctor and Ulreich, Berthold and Villegas, Mauricio and Vidal, Enrique and Walcher, Johanna and Weidemann, Max and Wurster, Herbert and Zagoris, Konstantinos},\n\tmonth = sep,\n\tyear = {2019},\n\tpages = {954--976},\n}\n\n
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\n Purpose An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded Transkribus platform. It explains HTR, demonstrates Transkribus , gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues. Design/methodology/approach This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material. Findings Transkribus has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified. Research limitations/implications The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc. Practical implications Only HTR provided via Transkribus is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field. Social implications The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals. Originality/value This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.\n
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\n  \n Zagoris, K.\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Transforming scholarship in the archives through handwritten text recognition: Transkribus as a case study.\n \n \n \n \n\n\n \n Muehlberger, G.; Seaward, L.; Terras, M.; Ares Oliveira, S.; Bosch, V.; Bryan, M.; Colutto, S.; Déjean, H.; Diem, M.; Fiel, S.; Gatos, B.; Greinoecker, A.; Grüning, T.; Hackl, G.; Haukkovaara, V.; Heyer, G.; Hirvonen, L.; Hodel, T.; Jokinen, M.; Kahle, P.; Kallio, M.; Kaplan, F.; Kleber, F.; Labahn, R.; Lang, E. M.; Laube, S.; Leifert, G.; Louloudis, G.; McNicholl, R.; Meunier, J.; Michael, J.; Mühlbauer, E.; Philipp, N.; Pratikakis, I.; Puigcerver Pérez, J.; Putz, H.; Retsinas, G.; Romero, V.; Sablatnig, R.; Sánchez, J. A.; Schofield, P.; Sfikas, G.; Sieber, C.; Stamatopoulos, N.; Strauß, T.; Terbul, T.; Toselli, A. H.; Ulreich, B.; Villegas, M.; Vidal, E.; Walcher, J.; Weidemann, M.; Wurster, H.; and Zagoris, K.\n\n\n \n\n\n\n Journal of Documentation, 75(5): 954–976. September 2019.\n \n\n\n\n
\n\n\n\n \n \n \"TransformingPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{muehlberger_transforming_2019,\n\ttitle = {Transforming scholarship in the archives through handwritten text recognition: {Transkribus} as a case study},\n\tvolume = {75},\n\tissn = {0022-0418},\n\tshorttitle = {Transforming scholarship in the archives through handwritten text recognition},\n\turl = {https://www.emerald.com/insight/content/doi/10.1108/JD-07-2018-0114/full/html},\n\tdoi = {10.1108/JD-07-2018-0114},\n\tabstract = {Purpose\n              \n                An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded\n                Transkribus\n                platform. It explains HTR, demonstrates\n                Transkribus\n                , gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues.\n              \n            \n            \n              Design/methodology/approach\n              This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material.\n            \n            \n              Findings\n              \n                Transkribus\n                has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified.\n              \n            \n            \n              Research limitations/implications\n              The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc.\n            \n            \n              Practical implications\n              \n                Only HTR provided via\n                Transkribus\n                is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field.\n              \n            \n            \n              Social implications\n              The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals.\n            \n            \n              Originality/value\n              This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.},\n\tlanguage = {en},\n\tnumber = {5},\n\turldate = {2020-01-02},\n\tjournal = {Journal of Documentation},\n\tauthor = {Muehlberger, Guenter and Seaward, Louise and Terras, Melissa and Ares Oliveira, Sofia and Bosch, Vicente and Bryan, Maximilian and Colutto, Sebastian and Déjean, Hervé and Diem, Markus and Fiel, Stefan and Gatos, Basilis and Greinoecker, Albert and Grüning, Tobias and Hackl, Guenter and Haukkovaara, Vili and Heyer, Gerhard and Hirvonen, Lauri and Hodel, Tobias and Jokinen, Matti and Kahle, Philip and Kallio, Mario and Kaplan, Frederic and Kleber, Florian and Labahn, Roger and Lang, Eva Maria and Laube, Sören and Leifert, Gundram and Louloudis, Georgios and McNicholl, Rory and Meunier, Jean-Luc and Michael, Johannes and Mühlbauer, Elena and Philipp, Nathanael and Pratikakis, Ioannis and Puigcerver Pérez, Joan and Putz, Hannelore and Retsinas, George and Romero, Verónica and Sablatnig, Robert and Sánchez, Joan Andreu and Schofield, Philip and Sfikas, Giorgos and Sieber, Christian and Stamatopoulos, Nikolaos and Strauß, Tobias and Terbul, Tamara and Toselli, Alejandro Héctor and Ulreich, Berthold and Villegas, Mauricio and Vidal, Enrique and Walcher, Johanna and Weidemann, Max and Wurster, Herbert and Zagoris, Konstantinos},\n\tmonth = sep,\n\tyear = {2019},\n\tpages = {954--976},\n}\n\n
\n
\n\n\n
\n Purpose An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded Transkribus platform. It explains HTR, demonstrates Transkribus , gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues. Design/methodology/approach This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material. Findings Transkribus has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified. Research limitations/implications The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc. Practical implications Only HTR provided via Transkribus is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field. Social implications The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals. Originality/value This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.\n
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\n  \n Zöllner, J.\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Evaluating Sequence-to-Sequence Models for Handwritten Text Recognition.\n \n \n \n \n\n\n \n Michael, J.; Labahn, R.; Grüning, T.; and Zöllner, J.\n\n\n \n\n\n\n arXiv:1903.07377 [cs]. July 2019.\n arXiv: 1903.07377\n\n\n\n
\n\n\n\n \n \n \"EvaluatingPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
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@article{michael_evaluating_2019,\n\ttitle = {Evaluating {Sequence}-to-{Sequence} {Models} for {Handwritten} {Text} {Recognition}},\n\turl = {http://arxiv.org/abs/1903.07377},\n\tabstract = {Encoder-decoder models have become an effective approach for sequence learning tasks like machine translation, image captioning and speech recognition, but have yet to show competitive results for handwritten text recognition. To this end, we propose an attention-based sequence-to-sequence model. It combines a convolutional neural network as a generic feature extractor with a recurrent neural network to encode both the visual information, as well as the temporal context between characters in the input image, and uses a separate recurrent neural network to decode the actual character sequence. We make experimental comparisons between various attention mechanisms and positional encodings, in order to find an appropriate alignment between the input and output sequence. The model can be trained end-to-end and the optional integration of a hybrid loss allows the encoder to retain an interpretable and usable output, if desired. We achieve competitive results on the IAM and ICFHR2016 READ data sets compared to the state-of-the-art without the use of a language model, and we significantly improve over any recent sequence-to-sequence approaches.},\n\turldate = {2022-01-07},\n\tjournal = {arXiv:1903.07377 [cs]},\n\tauthor = {Michael, Johannes and Labahn, Roger and Grüning, Tobias and Zöllner, Jochen},\n\tmonth = jul,\n\tyear = {2019},\n\tnote = {arXiv: 1903.07377},\n\tkeywords = {Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning},\n}\n\n
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\n Encoder-decoder models have become an effective approach for sequence learning tasks like machine translation, image captioning and speech recognition, but have yet to show competitive results for handwritten text recognition. To this end, we propose an attention-based sequence-to-sequence model. It combines a convolutional neural network as a generic feature extractor with a recurrent neural network to encode both the visual information, as well as the temporal context between characters in the input image, and uses a separate recurrent neural network to decode the actual character sequence. We make experimental comparisons between various attention mechanisms and positional encodings, in order to find an appropriate alignment between the input and output sequence. The model can be trained end-to-end and the optional integration of a hybrid loss allows the encoder to retain an interpretable and usable output, if desired. We achieve competitive results on the IAM and ICFHR2016 READ data sets compared to the state-of-the-art without the use of a language model, and we significantly improve over any recent sequence-to-sequence approaches.\n
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\n  \n de Does, J.\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n TranScriptorium: a European Project on Handwritten Text Recognition.\n \n \n \n\n\n \n Sánchez, J.; Mühlberger, G.; Gatos, B.; Schofield, P.; Depuydt, K.; Davis, R.; Vidal, E.; and de Does, J.\n\n\n \n\n\n\n In Marinai, S.; and Marriott, K., editor(s), ACM Symposium on Document Engineering DOCENG, pages 227–228, 2013. ACM\n tex.crossref: conf/doceng/2013\n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@inproceedings{conf/doceng/SanchezMGSDDVD13,\n\ttitle = {{TranScriptorium}: a {European} {Project} on {Handwritten} {Text} {Recognition}.},\n\tbooktitle = {{ACM} {Symposium} on {Document} {Engineering} {DOCENG}},\n\tpublisher = {ACM},\n\tauthor = {Sánchez, J.A. and Mühlberger, G. and Gatos, B. and Schofield, P. and Depuydt, K. and Davis, R.M. and Vidal, E. and de Does, J.},\n\teditor = {Marinai, Simone and Marriott, Kim},\n\tyear = {2013},\n\tnote = {tex.crossref: conf/doceng/2013},\n\tpages = {227--228},\n}\n\n
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\n  \n ssc\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Von Minen und Wolken – Data- & Textmining als Hilfsmittel für historische Forschungen.\n \n \n \n \n\n\n \n sschober\n\n\n \n\n\n\n \n \n\n\n\n
\n\n\n\n \n \n \"VonPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@misc{sschober_von_nodate,\n\ttype = {Billet},\n\ttitle = {Von {Minen} und {Wolken} – {Data}- \\& {Textmining} als {Hilfsmittel} für historische {Forschungen}},\n\turl = {https://dhuibk.hypotheses.org/4681},\n\tabstract = {Der heutige Blogbeitrag ist aufbauend auf meinen letzten Beitrag zum Thema Transkribus (https://dhuibk.hypotheses.org/4581). Denn mit den Datensätzen, die ich nach Transkribus importiert, dort bearbeitet und dann exportiert habe, werde ich heute ein Data- beziehungsweise...},\n\tlanguage = {de-DE},\n\turldate = {2021-05-07},\n\tjournal = {DH@Innsbruck},\n\tauthor = {sschober},\n}\n\n
\n
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\n Der heutige Blogbeitrag ist aufbauend auf meinen letzten Beitrag zum Thema Transkribus (https://dhuibk.hypotheses.org/4581). Denn mit den Datensätzen, die ich nach Transkribus importiert, dort bearbeitet und dann exportiert habe, werde ich heute ein Data- beziehungsweise...\n
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\n  \n undefined\n \n \n (5)\n \n \n
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\n \n\n \n \n \n \n \n Collaborative Research in the Digital Humanities.\n \n \n \n\n\n \n Deegan, M.; and McCarthy, W.,\n editors.\n \n\n\n \n\n\n\n Ashgate, 2012.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@book{deegan_collaborative_2012,\n\taddress = {Ashgate},\n\ttitle = {Collaborative {Research} in the {Digital} {Humanities}},\n\tisbn = {978-1-4094-1068-3},\n\teditor = {Deegan, Marilyn and McCarthy, W.},\n\tyear = {2012},\n}\n\n
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\n \n\n \n \n \n \n \n \n eScriptorium – INRIA GitLab.\n \n \n \n \n\n\n \n \n\n\n \n\n\n\n 2021.\n \n\n\n\n
\n\n\n\n \n \n \"eScriptoriumPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@misc{noauthor_escriptorium_2021,\n\ttype = {{GitLab}},\n\ttitle = {{eScriptorium} – {INRIA} {GitLab}},\n\turl = {https://gitlab.inria.fr/scripta/escriptorium},\n\tabstract = {A project providing digital recognition of handwritten documents using machine learning techniques.},\n\tlanguage = {en},\n\turldate = {2021-03-12},\n\tjournal = {INRIA GitLab},\n\tyear = {2021},\n}\n\n
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\n A project providing digital recognition of handwritten documents using machine learning techniques.\n
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\n \n\n \n \n \n \n \n UML @ classroom: eine Einführung in die objektorientierte Modellierung.\n \n \n \n\n\n \n Seidl, M.; Brandsteidl, M.; Huemer, C.; and Kappel, G.,\n editors.\n \n\n\n \n\n\n\n dpunkt-Verl, Heidelberg, 1. Aufl edition, 2012.\n OCLC: 806979979\n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@book{seidl_uml_2012,\n\taddress = {Heidelberg},\n\tedition = {1. Aufl},\n\ttitle = {{UML} @ classroom: eine {Einführung} in die objektorientierte {Modellierung}},\n\tisbn = {978-3-89864-776-2},\n\tshorttitle = {{UML} @ classroom},\n\tabstract = {UML (Unified Modeling Language) ist die führende Modellierungssprache für die Softwareentwicklung, die die objektorientierte Modellierung gut berücksichtigt. UML spielt eine grosse Rolle bei der Verständigung über eine zu entwickelnde Software, aber auch über die Wartung und Weiterentwicklung dieser Software. Ein Standardwerk zur Objektmodellierung mit UML ist H. Balzert (ID-G 4/12), das Arbeiten mit UML unter unterschiedlichen Randbedingungen beschreibt B. Rumpe (ID-G 4/12). Das vorliegende Buch wendet sich in 1. Linie an Einstiegssemester in die Informatik; es beruht auf Vorlesungen an der TU Wien. Schwerpunkte liegen bei den wichtigsten UML-Diagrammen (Anwendungsfalldiagramm, Klassendiagramm, Zustandsdiagramm, Sequenzdiagramm, Aktivitätsdiagramm) und dem Zusammenwirken dieser Diagramme, Modellierungserfahrungen werden beim Leser nicht vorausgesetzt. Die Autoren stützen sich auf Beispiele, die oft aus didaktischen Gründen auf vereinfachten Darstellungen der Wirklichkeit beruhen. Sehr hilfreich eine Gegenüberstellung von UML-Begriffen in Englisch und Deutsch. Sehr aktuelles Literaturverzeichnis. (2)},\n\tlanguage = {ger},\n\tpublisher = {dpunkt-Verl},\n\teditor = {Seidl, Martina and Brandsteidl, Marion and Huemer, Christian and Kappel, Gerti},\n\tyear = {2012},\n\tnote = {OCLC: 806979979},\n}\n\n
\n
\n\n\n
\n UML (Unified Modeling Language) ist die führende Modellierungssprache für die Softwareentwicklung, die die objektorientierte Modellierung gut berücksichtigt. UML spielt eine grosse Rolle bei der Verständigung über eine zu entwickelnde Software, aber auch über die Wartung und Weiterentwicklung dieser Software. Ein Standardwerk zur Objektmodellierung mit UML ist H. Balzert (ID-G 4/12), das Arbeiten mit UML unter unterschiedlichen Randbedingungen beschreibt B. Rumpe (ID-G 4/12). Das vorliegende Buch wendet sich in 1. Linie an Einstiegssemester in die Informatik; es beruht auf Vorlesungen an der TU Wien. Schwerpunkte liegen bei den wichtigsten UML-Diagrammen (Anwendungsfalldiagramm, Klassendiagramm, Zustandsdiagramm, Sequenzdiagramm, Aktivitätsdiagramm) und dem Zusammenwirken dieser Diagramme, Modellierungserfahrungen werden beim Leser nicht vorausgesetzt. Die Autoren stützen sich auf Beispiele, die oft aus didaktischen Gründen auf vereinfachten Darstellungen der Wirklichkeit beruhen. Sehr hilfreich eine Gegenüberstellung von UML-Begriffen in Englisch und Deutsch. Sehr aktuelles Literaturverzeichnis. (2)\n
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\n \n\n \n \n \n \n \n Seeing the Past with Computers: Experiments with Augmented Reality and Computer Vision for History.\n \n \n \n\n\n \n Kee, K.,\n editor.\n \n\n\n \n\n\n\n University of Michigan Press, .\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n\n\n\n
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@book{kee_seeing_nodate,\n\ttitle = {Seeing the {Past} with {Computers}: {Experiments} with {Augmented} {Reality} and {Computer} {Vision} for {History}},\n\tisbn = {978-0-472-12455-8},\n\tshorttitle = {Seeing the {Past} with {Computers}},\n\tabstract = {Recent developments in computer technology are providing historians with new ways to see—and seek to hear, touch, or smell—traces of the past. Place-based augmented reality applications are an increasingly common feature at heritage sites and museums, allowing historians to create immersive, multifaceted learning experiences. Now that computer vision can be directed at the past, research involving thousands of images can recreate lost or destroyed objects or environments, and discern patterns in vast datasets that could not be perceived by the naked eye.   Seeing the Past with Computers is a collection of twelve thought-pieces on the current and potential uses of augmented reality and computer vision in historical research, teaching, and presentation. The experts gathered here reflect upon their experiences working with new technologies, share their ideas for best practices, and assess the implications of—and imagine future possibilities for—new methods of historical study. Among the experimental topics they explore are the use of augmented reality that empowers students to challenge the presentation of historical material in their textbooks; the application of seeing computers to unlock unusual cultural knowledge, such as the secrets of vaudevillian stage magic; hacking facial recognition technology to reveal victims of racism in a century-old Australian archive; and rebuilding the soundscape of an Iron Age village with aural augmented reality.    This volume is a valuable resource for scholars and students of history and the digital humanities more broadly. It will inspire them to apply innovative methods to open new paths for conducting and sharing their own research.},\n\tpublisher = {University of Michigan Press},\n\teditor = {Kee, Kevin},\n\tkeywords = {Digital Projects, History:Historical Methods and Theory, Media Studies:New Media},\n}\n\n
\n
\n\n\n
\n Recent developments in computer technology are providing historians with new ways to see—and seek to hear, touch, or smell—traces of the past. Place-based augmented reality applications are an increasingly common feature at heritage sites and museums, allowing historians to create immersive, multifaceted learning experiences. Now that computer vision can be directed at the past, research involving thousands of images can recreate lost or destroyed objects or environments, and discern patterns in vast datasets that could not be perceived by the naked eye. Seeing the Past with Computers is a collection of twelve thought-pieces on the current and potential uses of augmented reality and computer vision in historical research, teaching, and presentation. The experts gathered here reflect upon their experiences working with new technologies, share their ideas for best practices, and assess the implications of—and imagine future possibilities for—new methods of historical study. Among the experimental topics they explore are the use of augmented reality that empowers students to challenge the presentation of historical material in their textbooks; the application of seeing computers to unlock unusual cultural knowledge, such as the secrets of vaudevillian stage magic; hacking facial recognition technology to reveal victims of racism in a century-old Australian archive; and rebuilding the soundscape of an Iron Age village with aural augmented reality. This volume is a valuable resource for scholars and students of history and the digital humanities more broadly. It will inspire them to apply innovative methods to open new paths for conducting and sharing their own research.\n
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\n \n\n \n \n \n \n \n \n Monasterium.net \\textbar ICARUS.\n \n \n \n \n\n\n \n \n\n\n \n\n\n\n \n \n\n\n\n
\n\n\n\n \n \n \"Monasterium.netPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@misc{noauthor_monasterium.net_nodate,\n\ttitle = {Monasterium.net {\\textbar} {ICARUS}},\n\turl = {http://icar-us.eu/cooperation/online-portals/monasterium-net/},\n\tlanguage = {de-DE},\n\turldate = {2018-05-22},\n}\n\n
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\n  \n van Zundert , J.\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n 6. ‘Black Boxes’ and True Colour —A Rhetoric of Scholarly Code.\n \n \n \n \n\n\n \n van Zundert , J.; Antonijević, S.; and Andrews, T.\n\n\n \n\n\n\n In Edmond, J., editor(s), Digital Technology and the Practices of Humanities Research, of Digital Humanities Series, pages 123–162. Open Book Publishers, Cambridge, January 2021.\n Code: Digital Technology and the Practices of Humanities Research\n\n\n\n
\n\n\n\n \n \n \"6.Paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@incollection{vanzundert_6_2021,\n\taddress = {Cambridge},\n\tseries = {Digital {Humanities} {Series}},\n\ttitle = {6. ‘{Black} {Boxes}’ and {True} {Colour} —{A} {Rhetoric} of {Scholarly} {Code}},\n\tcopyright = {CC BY 4.0},\n\tisbn = {979-10-365-6084-2},\n\turl = {http://books.openedition.org/obp/12009},\n\tlanguage = {en},\n\turldate = {2022-01-12},\n\tbooktitle = {Digital {Technology} and the {Practices} of {Humanities} {Research}},\n\tpublisher = {Open Book Publishers},\n\tauthor = {van Zundert, Joris J. and Antonijević, Smiljana and Andrews, Tara L.},\n\teditor = {Edmond, Jennifer},\n\tmonth = jan,\n\tyear = {2021},\n\tnote = {Code: Digital Technology and the Practices of Humanities Research},\n\tkeywords = {digital age, digitisation, humanities, scholarly identity, scholarly publishing, scholarship, technology},\n\tpages = {123--162},\n}\n\n
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