Statistical Natural Language Processing

4 credits

(Same as CSE 256.) 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 Prerequisites: one of LIGN 165, LIGN 245, CSE 151, CSE 250A, CSE 254. Prerequisites: graduate standing or consent of instructor.