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CS4242 — Natural Language Processing

4 credits · 4 hours

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

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