CMPE 259 - Natural Language Processing

3 unit(s)
Theory, design, and implementation of Natural Language Processing (NLP) systems. Topics include language representation and modeling, sequence modeling, Hidden Markov Models, probabilistic context-free grammars, Bayesian networks, Conditional Random Fields, and deep learning architectures for sequence processing.

Prerequisite(s): CMPE 252 or CMPE 255 or CMPE 257, or instructor consent. Artificial Intelligence, Computer Engineering, and Software Engineering Master’s students only.
Grading: Letter graded.

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