Syllabus
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
Annotation
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).
