CS 542 - Natural Language Processing

  • 4 credits

A survey of fundamental concepts, mathematical foundations, and algorithms in natural language processing and computational linguistics. Computational analysis of language data on all levels using methods that include finite state machines; n-gram language models; Bayesian, generative, and conditional models; hidden Markov models; statistical parsing; distributional semantics; and neural networks.

Prerequisite

CS 345 with a minimum grade of C.

Instructors

Nikhil Krishnaswamy

Nikhil.Krishnaswamy@colostate.edu

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