@inproceedings{ halvani_natural_2013,
  title = {Natural Language Watermarking for German Texts},
  abstract = {In this paper we present four informed natural language watermark embedding methods, which operate on the lexi- cal and syntactic layer of German texts. Our scheme pro- vides several bene⬚ts in comparison to state-of-the-art ap- proaches, as for instance that it is not relying on complex {NLP} operations like full sentence parsing, word sense disam- biguation, named entity recognition or semantic role pars- ing. Even rich lexical resources (e.g. {WordNet} or the Collins thesaurus), which play an essential role in many previous ap- proches, are unnecessary for our system. Instead, our meth- ods require only a Part-Of-Speech Tagger, simple wordlists that act as black- and whitelists and a trained classi⬚er, which automatically predicts the ability of potential lexi- cal or syntactic patterns to carry portions of the watermark message. Besides this, a part of the proposed methods can be easily adapted into other Indo-European languages, since the grammar rules the methods rely on are not restricted only to the German language. Because the methods per- form only lexical and minor syntactic transformations, the watermarked text is not a⬚ected by grammatical distortion and simultaneously the meaning of the text is preserved in 82:14% of the cases.},
  booktitle = {{IH}\&{MMSec}'13, June 17--19, 2013, Montpellier, France.},
  author = {Halvani, Oren and Steinebach, Martin and Wolf, Patrick and Zimmermann, Ralf},
  year = {2013},
  keywords = {parsing}
}

{"_id":"9E7kMKTq73Q3wApK4","authorIDs":[],"author_short":["Halvani, O.","Steinebach, M.","Wolf, P.","Zimmermann, R."],"bibbaseid":"halvani-steinebach-wolf-zimmermann-naturallanguagewatermarkingforgermantexts-2013","bibdata":{"abstract":"In this paper we present four informed natural language watermark embedding methods, which operate on the lexi- cal and syntactic layer of German texts. Our scheme pro- vides several bene⬚ts in comparison to state-of-the-art ap- proaches, as for instance that it is not relying on complex NLP operations like full sentence parsing, word sense disam- biguation, named entity recognition or semantic role pars- ing. Even rich lexical resources (e.g. WordNet or the Collins thesaurus), which play an essential role in many previous ap- proches, are unnecessary for our system. Instead, our meth- ods require only a Part-Of-Speech Tagger, simple wordlists that act as black- and whitelists and a trained classi⬚er, which automatically predicts the ability of potential lexi- cal or syntactic patterns to carry portions of the watermark message. Besides this, a part of the proposed methods can be easily adapted into other Indo-European languages, since the grammar rules the methods rely on are not restricted only to the German language. Because the methods per- form only lexical and minor syntactic transformations, the watermarked text is not a⬚ected by grammatical distortion and simultaneously the meaning of the text is preserved in 82:14% of the cases.","author":["Halvani, Oren","Steinebach, Martin","Wolf, Patrick","Zimmermann, Ralf"],"author_short":["Halvani, O.","Steinebach, M.","Wolf, P.","Zimmermann, R."],"bibtex":"@inproceedings{ halvani_natural_2013,\n title = {Natural Language Watermarking for German Texts},\n abstract = {In this paper we present four informed natural language watermark embedding methods, which operate on the lexi- cal and syntactic layer of German texts. Our scheme pro- vides several bene⬚ts in comparison to state-of-the-art ap- proaches, as for instance that it is not relying on complex {NLP} operations like full sentence parsing, word sense disam- biguation, named entity recognition or semantic role pars- ing. Even rich lexical resources (e.g. {WordNet} or the Collins thesaurus), which play an essential role in many previous ap- proches, are unnecessary for our system. Instead, our meth- ods require only a Part-Of-Speech Tagger, simple wordlists that act as black- and whitelists and a trained classi⬚er, which automatically predicts the ability of potential lexi- cal or syntactic patterns to carry portions of the watermark message. Besides this, a part of the proposed methods can be easily adapted into other Indo-European languages, since the grammar rules the methods rely on are not restricted only to the German language. Because the methods per- form only lexical and minor syntactic transformations, the watermarked text is not a⬚ected by grammatical distortion and simultaneously the meaning of the text is preserved in 82:14% of the cases.},\n booktitle = {{IH}\\&{MMSec}'13, June 17--19, 2013, Montpellier, France.},\n author = {Halvani, Oren and Steinebach, Martin and Wolf, Patrick and Zimmermann, Ralf},\n year = {2013},\n keywords = {parsing}\n}","bibtype":"inproceedings","booktitle":"IH\\&MMSec'13, June 17--19, 2013, Montpellier, France.","id":"halvani_natural_2013","key":"halvani_natural_2013","keywords":"parsing","title":"Natural Language Watermarking for German Texts","type":"inproceedings","year":"2013","bibbaseid":"halvani-steinebach-wolf-zimmermann-naturallanguagewatermarkingforgermantexts-2013","role":"author","urls":{},"keyword":["parsing"],"downloads":0},"bibtype":"inproceedings","biburl":"http://bibbase.org/zotero/klaus.lepsky","creationDate":"2014-12-27T16:52:12.376Z","downloads":0,"keywords":["parsing"],"search_terms":["natural","language","watermarking","german","texts","halvani","steinebach","wolf","zimmermann"],"title":"Natural Language Watermarking for German Texts","year":2013,"dataSources":["toq45axpbC28psYaM"]}