Linguistic Data: Quantitative Analysis and Visualisation: linguistic theory

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  • Instructors: Ilya Schurov and Ivan Pozdnyakov


Date Topics Links video
Jan 10 Introduction. Quantitative linguistic research and data types. R basics
Jan 17 Statistical hypothesis testing. Binomial test code video
Jan 24 Measures of statistical dispersion: variance and standard deviation. Population and sample. Estimate of population mean. Central limit theorem code lecture, practice
Jan 31 One sample t-test code lecture, practice
Feb 7 One sided and two sided alternatives. Two sample t-test code video
Feb 14 Multiple comparison problem. ANOVA code, Confidence intervals visualization video
Feb 21 Visualizations
Feb 28 Chi-squared test
April 7 Correlations video
April 11 Bivariate regression
April 18 Multivariate regressions code video


Academic ethics policy: you have to do your homeworks by yourself. In case of academic cheating (e.g. if you copy someone else's work, etc.), your work will receive grade 0 and the program supervisor will be notified. If you feel that you are stuck with the homeowork, ask for instructor's advices and hints.

Late penalties: in case of late submission, your grade will be multiplied by exp(-t / 86400), where t is the number of seconds since the due date. For example, if you delay the submission by one day, your grade will be multiplied by exp(-1)=0.3678794412.

Extensions: you can ask for up to two extensions of homework due dates during the course. Each extension is one week. Extensions due to valid excuses (i.e. illness) do not count.

Homework #1

Homework #2

Homework #3

Final projects