CS4242
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CS 4242 - Natural Language Processing (4 Cr.)
Course description
Techniques for creating computer programs that analyze, generate, and understand written human language. Emphasizes broad coverage of both rule-based and empirical data-driven methods. Topics include word-level approaches, syntactic analysis, and semantic interpretation. Applications selected from conversational agents, sentiment analysis, information extraction, and question answering.
prereq: (CS 1632 or 2511), (CS 2531 or MATH 3355) or instructor consent; a grade of C- or better is required in the prerequisite course; credit will not be granted if already received for CS 5242 or 5761
prereq: (CS 1632 or 2511), (CS 2531 or MATH 3355) or instructor consent; a grade of C- or better is required in the prerequisite course; credit will not be granted if already received for CS 5242 or 5761
Minimum credits
4
Maximum credits
4
Is this course repeatable?
No
Grading basis
AFV - A-F or Audit
Laboratory
Lecture
Requirements
009831
Credit will not be granted if credit has been received for:
02773
Typically offered term(s)
Periodic Fall