CMSC 35100
Natural Language ProcessingPrerequisites: CMSC 25000 or 35000, or consent of instructor.
Catalog Description: An introduction to the theory and practice of natural language processing, with applications to both text and speech. Topics include regular expressions, finite state automata, morphology, part-of-speech tagging, context-free grammers, parsing, semantics, discourse, and dialogue. Symbolic and probabilistic models are presented. Techniques for automatic acquisition of linguistic knowledge are emphasized.
Instructors: G.-A. LevowQuarter offered: Spring
Last Verified by Sharon Salveter on 8 April, 2003.