ISTA355
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ISTA355 - Introduction to Natural Language Processing
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