@article{jeszenszky2024,
	title = {What drives non-linguists’ hands (or mouse) when drawing mental dialect maps?},
	doi = {https://doi.org/10.1093/llc/fqae003},
	abstract = {In perceptual dialectology, mental mapping is a popular tool used for eliciting attitudes and the spatial imprint of linguistic cognition from non-linguists, through tasking them with drawing about linguistic variations on maps. Despite the popularity of this method, research on the geometrical parameters of the shapes drawn on these maps has been limited. In our study, we utilized 500 mental maps, both digital and hand-drawn, introducing a new digital implementation for mental mapping (source code available). Our contribution presents the first perceptual dialectological outcomes of the ‘Swiss German Dialects in Time and Space’ project, which recorded a socio-demographically balanced corpus containing a large amount of quantitative personal data about participants that represent the entire Swiss German dialect continuum. Our first research question explores how various sociolinguistic variables and other variables related to personal background influence the geometrical parameters of shapes drawn, such as the number of shapes, their coverage of the language area, and their compactness. Statistical modelling reveals that dialect identity plays the most important role, while educational background, urbanity, and regional differences also affect more parameters. The second research question investigates the comparability between hand-drawn and digital mental maps, showing that they are generally comparable in terms of geometrical aspects, with minor limitations due to specific technical considerations in our digital method.},
	number = {00},
	journal = {Digital Scholarship in the Humanities},
	author = {Jeszenszky, Péter and Steiner, Carina and von Allmen, Nina and Leemann, Adrian},
	month = feb,
	year = {2024},
	pages = {1--16},
}

In perceptual dialectology, mental mapping is a popular tool used for eliciting attitudes and the spatial imprint of linguistic cognition from non-linguists, through tasking them with drawing about linguistic variations on maps. Despite the popularity of this method, research on the geometrical parameters of the shapes drawn on these maps has been limited. In our study, we utilized 500 mental maps, both digital and hand-drawn, introducing a new digital implementation for mental mapping (source code available). Our contribution presents the first perceptual dialectological outcomes of the ‘Swiss German Dialects in Time and Space’ project, which recorded a socio-demographically balanced corpus containing a large amount of quantitative personal data about participants that represent the entire Swiss German dialect continuum. Our first research question explores how various sociolinguistic variables and other variables related to personal background influence the geometrical parameters of shapes drawn, such as the number of shapes, their coverage of the language area, and their compactness. Statistical modelling reveals that dialect identity plays the most important role, while educational background, urbanity, and regional differences also affect more parameters. The second research question investigates the comparability between hand-drawn and digital mental maps, showing that they are generally comparable in terms of geometrical aspects, with minor limitations due to specific technical considerations in our digital method.

@article{jeszenszky2019,
	title = {Japanese {Lexical} {Variation} {Explained} by {Spatial} {Contact} {Patterns}},
	volume = {8},
	issn = {2220-9964},
	url = {https://www.mdpi.com/2220-9964/8/9/400},
	doi = {10.3390/ijgi8090400},
	abstract = {In this paper, we analyse spatial variation in the Japanese dialectal lexicon by assembling a set of methodologies using theories in variationist linguistics and GIScience, and tools used in historical GIS. Based on historical dialect atlas data, we calculate a linguistic distance matrix across survey localities. The linguistic variation expressed through this distance is contrasted with several measurements, based on spatial distance, utilised to estimate language contact potential across Japan, historically and at present. Further, administrative boundaries are tested for their separation effect. Measuring aggregate associations within linguistic variation can contrast previous notions of dialect area formation by detecting continua. Depending on local geographies in spatial subsets, great circle distance, travel distance and travel times explain a similar proportion of the variance in linguistic distance despite the limitations of the latter two. While they explain the majority, two further measurements estimating contact have lower explanatory power: least cost paths, modelling contact before the industrial revolution, based on DEM and sea navigation, and a linguistic influence index based on settlement hierarchy. Historical domain boundaries and present day prefecture boundaries are found to have a statistically significant effect on dialectal variation. However, the interplay of boundaries and distance is yet to be identified. We claim that a similar methodology can address spatial variation in other digital humanities, given a similar spatial and attribute granularity.},
	language = {en},
	number = {9},
	urldate = {2024-03-11},
	journal = {ISPRS International Journal of Geo-Information},
	author = {Jeszenszky, Péter and Hikosaka, Yoshinobu and Imamura, Satoshi and Yano, Keiji},
	month = sep,
	year = {2019},
	pages = {400},
}

In this paper, we analyse spatial variation in the Japanese dialectal lexicon by assembling a set of methodologies using theories in variationist linguistics and GIScience, and tools used in historical GIS. Based on historical dialect atlas data, we calculate a linguistic distance matrix across survey localities. The linguistic variation expressed through this distance is contrasted with several measurements, based on spatial distance, utilised to estimate language contact potential across Japan, historically and at present. Further, administrative boundaries are tested for their separation effect. Measuring aggregate associations within linguistic variation can contrast previous notions of dialect area formation by detecting continua. Depending on local geographies in spatial subsets, great circle distance, travel distance and travel times explain a similar proportion of the variance in linguistic distance despite the limitations of the latter two. While they explain the majority, two further measurements estimating contact have lower explanatory power: least cost paths, modelling contact before the industrial revolution, based on DEM and sea navigation, and a linguistic influence index based on settlement hierarchy. Historical domain boundaries and present day prefecture boundaries are found to have a statistically significant effect on dialectal variation. However, the interplay of boundaries and distance is yet to be identified. We claim that a similar methodology can address spatial variation in other digital humanities, given a similar spatial and attribute granularity.

@book{mallinson_data_2018,
	address = {London},
	title = {Data {Collection} in {Sociolinguistics}},
	isbn = {978-1-138-69137-7},
	abstract = {The second edition of Data Collection in Sociolinguistics: Methods and Applications continues to provide up-to-date, succinct, relevant, and informative discussion about methods of data collection in sociolinguistic research. Written by a range of top sociolinguists, both veteran and emerging scholars, it covers the main areas of research design, conducting research, and sharing data findings.},
	language = {English},
	publisher = {Routledge},
	author = {Mallinson, Christine and Childs, Becky and Van Herk, Gerard},
	year = {2018},
}

The second edition of Data Collection in Sociolinguistics: Methods and Applications continues to provide up-to-date, succinct, relevant, and informative discussion about methods of data collection in sociolinguistic research. Written by a range of top sociolinguists, both veteran and emerging scholars, it covers the main areas of research design, conducting research, and sharing data findings.

@article{black_textual_2015,
	title = {A {Textual} {History} of {Mozilla}: {Using} {Topic} {Modeling} to {Trace} {Sociocultural} {Influences} on {Software} {Development}},
	volume = {009},
	issn = {1938-4122},
	shorttitle = {A {Textual} {History} of {Mozilla}},
	number = {3},
	journal = {Digital Humanities Quarterly},
	author = {Black, Michael L.},
	month = dec,
	year = {2015},
}

@article{kolly2014,
	title = {‘{Swiss} {Voice} {App}’: {A} smartphone application for crowdsourcing {Swiss} {German} dialect data},
	shorttitle = {‘{Swiss} {Voice} {App}’},
	url = {https://www.zora.uzh.ch/id/eprint/105411},
	doi = {10.5167/UZH-105411},
	urldate = {2024-03-10},
	author = {Kolly, Marie-José and Leemann, Adrian and Dellwo, Volker and Goldman, Jean-Philippe and Hove, Ingrid and Ibrahim, Almajai},
	month = jul,
	year = {2014},
	note = {Publisher: [object Object]},
}

@article{kretzschmar_computer_2014,
	title = {Computer {Simulation} of {Dialect} {Feature} {Diffusion}},
	volume = {2},
	issn = {2049-7547},
	doi = {10.1017/jlg.2014.2},
	number = {1},
	journal = {Journal of Linguistic Geography},
	author = {Kretzschmar, William A. and Juuso, Ilkka and Bailey, C. Thomas},
	month = mar,
	year = {2014},
	pages = {41--57},
}