Statistical Models in Natural-Language Understanding
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|Meeting Time:||M: Mon 3:00-5:20|
|Offered this year?||No|
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.