CSE 325/425 NATURAL LANGUAGE PROCESSING (3)

Instructor

Sihong Xie (Spring 2021)

Course Description

Overview of modern natural language processing techniques: text normalization, language model, part-of-speech tagging, hidden Markov model, syntactic and dependency parsing, semantics, word sense, reference resolution, dialog agent, machine translation. Design, implementation and evaluation of classic NLP algorithms. Credit will not be given for both CSE 325 and CSE 425.
Prerequisites: (MATH 231 or ECO 045) and CSE 017
Can be taken Concurrently: MATH 231, ECO 045, CSE 017

Textbook (recommended):

Daniel Jurafsky and James Martin, "Speech and Language Processing", 2nd edition, Prentice Hall 2008, ISBN 978-0131873216