From extra- to intratextual characteristics: Charting the space of variation in Czech through MDA
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Václav Cvrček
Václav Cvrček (PhD Charles University Prague, 2008) is an Associate Professor of corpus linguistics at Charles University, Prague. His main research interests are corpus linguistics methodology, quantitative linguistics, and corpus-assisted discourse studies.
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Zuzana Komrsková
Zuzana Komrsková holds an MA in Czech language and she is currently a PhD student at the Institute of Czech Language and Theory of Communication, Charles University, Prague. Her special areas of interest are Internet communication, corpus linguistics, and corpora of spoken language.
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David Lukeš
David Lukeš holds an MA in Phonetics and English & American Studies; he is currently a PhD student at the Institute of the Czech National Corpus, Charles University, Prague. His research interests include Czech phonetics, corpora of spoken language, and quantitative methods in linguistics.
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Petra Poukarová
Petra Poukarová holds an MA in Czech Language and Literature; she is currently a PhD student at the Institute of the Czech National Corpus, Charles University, Prague. Her research focuses on Czech phonetics, corpus linguistics, and corpora of spoken language.
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Anna Řehořková
Anna Řehořková holds an MA in Czech language and she is currently a PhD student at the Institute of the Czech National Corpus, Charles University, Prague. Her academic areas of interest are diachronic linguistics, Czech subordinate clauses, and corpus linguistics.
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Adrian Jan Zasina
Adrian Jan Zasina holds an MA in Slavic Studies and he is currently a PhD student at the Institute of the Czech National Corpus, Charles University, Prague. His main research interests include data-driven learning, gender & language, and corpus linguistics.
Abstract
This paper is part of a larger research effort on language variability aimed at uncovering the relations between extra- and intratextual characteristics of Czech texts by means of multi-dimensional analysis. The palpable lack of prior art on quantitative register analysis of Czech led to several distinctive methodological decisions, concerning namely corpus design, feature selection and the parameters of factor analysis, especially the number of dimensions to extract. We report on these for their potential relevance to other researchers embarking on a similar journey. In order to demonstrate the viability of the model, we also present a brief interpretation of the resulting dimensions.
About the authors
Václav Cvrček (PhD Charles University Prague, 2008) is an Associate Professor of corpus linguistics at Charles University, Prague. His main research interests are corpus linguistics methodology, quantitative linguistics, and corpus-assisted discourse studies.
Zuzana Komrsková holds an MA in Czech language and she is currently a PhD student at the Institute of Czech Language and Theory of Communication, Charles University, Prague. Her special areas of interest are Internet communication, corpus linguistics, and corpora of spoken language.
David Lukeš holds an MA in Phonetics and English & American Studies; he is currently a PhD student at the Institute of the Czech National Corpus, Charles University, Prague. His research interests include Czech phonetics, corpora of spoken language, and quantitative methods in linguistics.
Petra Poukarová holds an MA in Czech Language and Literature; she is currently a PhD student at the Institute of the Czech National Corpus, Charles University, Prague. Her research focuses on Czech phonetics, corpus linguistics, and corpora of spoken language.
Anna Řehořková holds an MA in Czech language and she is currently a PhD student at the Institute of the Czech National Corpus, Charles University, Prague. Her academic areas of interest are diachronic linguistics, Czech subordinate clauses, and corpus linguistics.
Adrian Jan Zasina holds an MA in Slavic Studies and he is currently a PhD student at the Institute of the Czech National Corpus, Charles University, Prague. His main research interests include data-driven learning, gender & language, and corpus linguistics.
Acknowledgements
This study was supported by the ERDF project “Language Variation in the CNC” no. CZ.02.1.01/0.0/0.0/16_013/0001758. The authors would like to thank both reviewers for valuable input.
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© 2018 Walter de Gruyter GmbH, Berlin/Boston
Artikel in diesem Heft
- Frontmatter
- Attractors of variation in Hungarian inflectional morphology
- A diachronic perspective on near-synonymy: The concept of sweet-smelling in American English
- From extra- to intratextual characteristics: Charting the space of variation in Czech through MDA
- An information-theoretic view on language complexity and register variation: Compressing naturalistic corpus data
- A corpus-based study of the Chinese synonymous approximatives shangxia, qianhou and zuoyou
- The lexical context in a style analysis: A word embeddings approach
- Linguistic Proficiency: A Quantitative Approach to Immigrant and Heritage Speakers of Danish
- DISCOver: DIStributional approach based on syntactic dependencies for discovering COnstructions
Artikel in diesem Heft
- Frontmatter
- Attractors of variation in Hungarian inflectional morphology
- A diachronic perspective on near-synonymy: The concept of sweet-smelling in American English
- From extra- to intratextual characteristics: Charting the space of variation in Czech through MDA
- An information-theoretic view on language complexity and register variation: Compressing naturalistic corpus data
- A corpus-based study of the Chinese synonymous approximatives shangxia, qianhou and zuoyou
- The lexical context in a style analysis: A word embeddings approach
- Linguistic Proficiency: A Quantitative Approach to Immigrant and Heritage Speakers of Danish
- DISCOver: DIStributional approach based on syntactic dependencies for discovering COnstructions
