Measuring and Modeling Language Change

Questions about language change are fundamental to the social sciences and humanities, and scholars in these disciplines are increasingly turning to computational techniques for answers. This tutorial will facilitate this convergence by surveying techniques such as vector autoregressive models, dynamic topic models, dynamic word embeddings, and interrupted time-series models for causal inference.
For more information regarding the tutorial and in time necessary files, you can visit the tutorial website of organizers Ian Stewart, Sandeep Soni and Jacob Eisenstein.