CSCI2410(Formerly CS241 )
Statistical Models in Natural-Language Understanding
|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.