Statistical Methods in Linguistics

4.0 credits

This course provides an introduction to probability and statistics for linguistics, serving as an essential foundation for linguistics students who aim to analyze experimental and corpus linguistic data. Topics include (i) elementary probability theory; (ii) elementary descriptive and inferential statistics; (iii) elementary machine learning concepts; and (iv) fixed and mixed effects models. Concepts are explored through linguistic case studies, including the analysis of formally collected judgment data, reaction times, and acoustic measurements.