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.

Formats:
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

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Class Schedule (Fall 2024):
CS 288 – TuTh 12:30-13:59, Wurster 102 – Alane Suhr, Dan Klein

Class homepage on inst.eecs