Units: 4
Hours: Lecture, 3 hours; discussion, 1 hour
Catalog page 277
Prerequisites: CS 100; CS 111; EE 114 or STAT 155 or STAT 156A or STAT 160A
Description: An overview of modern approaches for natural language processing. Focuses on major algorithms used in NLP for various applications such as part-of-speech tagging, parsing, named entity recognition, coreference resolution, sentiment analysis, and machine translation.