Curriculum

Prerequisites: None

Instructors: Prof. Sakshi Bhatia, Prof. Samar Husain, Prof. Apurva 

This track is suitable for beginner-level linguistics students who want to do experimental research. It would contain lectures and practice sessions on Statistical data analysis using R and experiment design methods.

The structure and curriculum for this track will be as follows. Two themes will be covered in the five-day workshop: (i) Statistical data analysis using R, and (ii) Experiment design.

Theme 1: Statistical data analysis using R (15 hours) 

1. R programming I: Variables, Loops, Conditionals 

2. R programming II: Plotting and file handling 

3. Statistics: Significance testing, t-test 

4. Statistics: Linear regression 

5. Statistics: Linear mixed models 

Theme 2: Experiment design (15 hours) 

1. Basics of experiment design I 

2. Basics of experiment design II 

3. Experiment building with PCibex 

4. Power analysis and sample size determination 

5. Managing experimental data  

Prerequisites: R/python programming (e.g., you should be able write loops, conditional statements and functions in R or Python)

Instructors: Prof. Himanshu Yadav, Sovan, Nitesh  

This track is suitable for students who specifically want to learn computational methods for their research, which is an important avenue in today’s research scenario. This track would require that a student already knows R/python programming. It will consist of two themes: (i) Bayesian modeling, and (ii) Corpus-based empirical linguistics, where the focus would be on empirical research using large-scale language corpora. 

Theme 1: Bayesian modeling (18 hours)

1. Random variables 

2. Statistical inference using Bayes’ theorem 

3. Parameter estimation 

4. Bayesian regression modeling 

5. Model comparison 

6. Bayesian hierarchical models 

Theme 2: Corpus-based empirical linguistics (12 hours)

1. Querying the treebanks 

2. Measuring linguistic complexity of trees 

3. Random baseline generation 

4. Artificial vs natural language experiments