Natural Language Processing.

Prerequisite(s): LNGN 300 or departmental approval. Computational approaches to the problem of processing, understanding and generating natural language text and speech, including speech processing, morphological and phonological analysis, syntactic parsing, semantic interpretation, discourse meaning, and the role of pragmatics and world knowledge. The course will examine both rule-based and data-driven techniques.

Term 202440 #40660 LNGN445
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Instructor
Meeting Times
Location: SCHM 105 (M)
@ 11:15 - 12:30
From 2024-09-04 to 2024-12-20
Enrollment

4

seats available

16

currently enrolled

20

maximum enrollment

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