LING 413

• Course in Catalog
• List of Terms offered
• Register for Classes

Credit: 3 OR 4 hours.

An introduction to computational research methods applied to large natural language corpora (i.e. text analytics) which can uncover complexities in naturally occurring data and explore issues related to frequency of usage. Students will be introduced to corpus concepts, methods, and examples; computational skills needed to build, annotate, and search a corpus for patterns and phenomena of interest,; and get hands-on corpus analysis experience. Topics may include syntax (i.e., patterns and alternations), lexical semantics, language variation, pragmatics / language use, discourse analysis, psycholinguistics, as well as descriptive and exploratory text analytics models.

3 or 4 undergraduate hours. 4 graduate hours. Prerequisite: LING 100 or LING 400, and CS 225 or equivalent, and STAT 200 or STAT 212 or STAT 400 or CS 361 or equivalent.

• My Favorites
• My Schedule