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