ISTA355

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ISTA355 - Introduction to Natural Language Processing

0481 Undergraduate UA - UA General

Course Description

Natural language processing (NLP) is the study of how we can teach computers to use language by extracting knowledge from text, and then use that knowledge in some meaningful way. In this introductory course, we will examine the fundamental components on which natural language processing systems are built, including frequency distributions, part of speech tagging, syntactic parsing, semantics and analyzing meaning, search, introductory information and relation extraction, and structured knowledge resources. We will also examine pragmatic concerns in processing raw text from real-world sources.

Min Units

3

Max Units

3

Repeatable for Credit

No

Grading Basis

GRD - Regular Grades A, B, C, D, E

Career

Undergraduate

Enrollment Requirements

017816

May be convened with

Name

Discussion

Workload Hours

0

Optional Component

Yes

Name

Laboratory

Workload Hours

0

Optional Component

Yes

Name

Lecture

Workload Hours

3

Optional Component

No

Typically Offered Main Campus

Fall