(Formerly CS241)

Statistical Models in Natural-Language Understanding

Not offered this year
Offered discontinued, last taught:

Fall 2018

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.