Statistics for Linguistics [ LFIAL2260 ]

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One course of introduction to linguistics.

Data management in R: vectors, matrices, data frames, etc.

• quantitative analysis of linguistic data: classical univariate, bivariate and multivariate techniques; descriptive and inferential statistics; contemporary methods of analysis of language variation and change (distinctive collexeme analysis, SemanticVector Spaces, motion charts)
• data visualization in R

At the end of the course, the student will be able to select and use appropriate quantitative methods to analyze linguistic phenomena with the help of R.

More practically, he will be able to use and understand the R code provided in the course and adjust it for the purposes of his own research. He will also be able to represent his data visually with the help of R.

continuous assessment (exercises) + presentation of own projects

lectures and practical case studies

The organization of the course is twofold :
1. Principles of empirical investigation in linguistics
2. Introduction to R: main data types, functions and graphical tools
3. Numerous case studies that deal with different research questions (semantics, constructions, language variation, diachronic linguistics, etc.), data types and statistical techniques.
4. Presentation and discussion of individual projects

Baayen, R. H. 2008. Analyzing Linguistic Data: A Practical Introduction to Statistics Using R. Cambridge: Cambridge University Press.

Crawley, Michael J. The R book. Chichester: John Wiley.

Gries, St. Th. 2013. Statistics for Linguistics with R. A Practical Introduction. 2nd edition. Berlin: De Gruyter Mouton.

Levshina, N. (To appear) How to do Cognitive Linguistics with R. Amsterdam: John Benjamins.

Teetor, P. 2011. R Cookbook. Sebastopol, CA: O'Reilly Media

Support : a website with slides, R code, exercises and keys.