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More advanced students of corpus linguistics, who have already participated in any basic corpus linguistic
seminar, can use this course to deepen their competence in statistical data analysis. The course focuses on the
statistical theory (in particular issues of corpus linguistics and specific distributions of language data) as well as on
relevant computational skills for data analytics using R. The course requires common computer user skills (no
explicit programming background).
Last update: Mírovský Jiří, RNDr., Ph.D. (12.05.2022)
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active participation in the lessons (max 3 absences)
Any individual exceptions are up to the teachers. Last update: Cinková Silvie, Mgr., Ph.D. (22.05.2023)
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Baayen, H. R.: Analyzing Linguistic Data, Cambridge University Press, Cambridge 2008. Baayen, H. R.: Word Frequency Distributions. Kluwer Academic Publishers. Dordrecht/Boston/London 2010. Bartoň, T. - Cvrček, V. - Čermák, F. - Jelínek, T. - Petkevič, V. (2009): Statistiky češtiny. Nakladatelství Lidové noviny, Praha 2009. Gries, S. Th.: Quantitative Corpus Linguistics with R, Routledge 2009. Gries, S. Th.: Statistics for Linguistics with R. A Practical Introduction. Mouton De Gruyter 2013 (2nd revised edition). Oakes, M. P.: Statistics for Corpus Linguistics. Edinburgh University Press, Edinburgh 1998. Volín, J. (2007): Statistické metody ve fonetickém výzkumu. Praha: Epocha. Last update: Mírovský Jiří, RNDr., Ph.D. (12.05.2022)
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1. Typical topics of corpus studies, relevance of quantitative methods in linguistics, hypothesis formulation 2. Descriptive statistics - central tendency, dispersion 3. Types of pobability distributions 4. Inferential statistics 5. Correlation and regression 6. Factor analysis and clustering methods 7. ANOVA Last update: Cinková Silvie, Mgr., Ph.D. (22.05.2023)
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