CMSC 35100
Natural Language ProcessingPrerequisites: CMSC 25000 or 35000, or consent of instructor.
Catalog Description: This course is 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 grammars, parsing, semantics, discourse and dialogue. Symbolic and probabilistic models are presented. Techniques for automatic acquisition of linguistics knowledge are emphasized.
Instructors:Quarter offered: Spring. Not offered in 2009-2010; will be offered in 2010-11.
Last Verified by Sharon Salveter on 8 April, 2003.