256. Statistical Natural Language Processing

4 credits

An introduction to modern statistical approaches to natural language processing: part of speech tagging, word sense disambiguation and parsing, using Markov models, hidden Markov models, and probabilistic context-free grammars. Recommended preparation: LIGN 165, LIGN 245, CSE 151, CSE 250A, or CSE 254. Prerequisites: graduate standing or consent of instructor.