Introduction to computational methods for analyzing large natural language corpora. Students will learn the computational skills necessary to build, validate, and analyze corpora with the goal of exploring linguistic phenomena and testing linguistic theories. Corpus linguistics as a field undertakes natural experiments to learn about language using the unelicited production of speakers. This course focuses specifically on computational corpus linguistics, which uses methods from natural language processing to expand the scale of corpus-based experiments.
Undergraduate Credit: 3 hours
Graduate Credit: 4 hours
Prerequisite: LING 100 or LING 400; and LING 402 or equivalent Python experience.
Note: This course satisfies the General Education Criteria for: Advanced Composition
Course Department: Linguistics
Updated: April 4, 2026