(Formerly CS241)

Statistical Models in Natural-Language Understanding

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Meeting Time:M: Mon 3:00-5:20
Semester:1 (Fall)
Offered this year?No
When Offered?Discontinued


This course covers various topics in computer understanding of natural language, primarily from a statistical point of view. Topics include: hidden Markov models, word-tagging models, probabilistic context-free grammars, syntactic disambiguation, semantic word clustering, word-sense disambiguation, machine translation and lexical semantics. Prerequisite: CSCI1410.

CRN: None