CS 288. Natural Language Processing

Catalog Description: Methods and models for the analysis of natural (human) language data. Topics include: language modeling, speech recognition, linguistic analysis (syntactic parsing, semantic analysis, reference resolution, discourse modeling), machine translation, information extraction, question answering, and computational linguistics techniques.

Units: 4

Prerequisites: COMPSCI 188; and COMPSCI 170 is recommended.

Spring: 3.0 hours of lecture per week
Fall: 3.0 hours of lecture per week

Grading basis: letter

Final exam status: No final exam

Class Schedule (Fall 2023):
CS 288 – TuTh 11:00-12:29, Morgan 101 – Alane Suhr, Daniel Louis Klein
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