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 combines linguistic theory with computational modeling.

3 undergraduate hours. 4 graduate hours. Prerequisite: LING 100 or LING 400; LING 402 (or equivalent Python experience); STAT 100 (or equivalent statistical experience).

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