LING 406

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Credit: 3 OR 4 hours.

Introduces the field of natural language processing and computational linguistics. Topics include finite-state methods, parsing, probabilistic methods, machine learning in NLP, computational semantics and applications of NLP technology. The course is mostly about concepts rather than programming, though some programming assignments will be given.

3 undergraduate hours. 4 graduate hours. Prerequisite: Programming experience is assumed: students must have taken LING 490: Programming for Computational Linguistics or equivalent and MATH 461: Probability Theory or CS 361 Probability and Statistics for Computer Science or equivalent.

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