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Fall 2020 Search Results

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9.19 Computational Psycholinguistics
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Undergrad (Fall)
(Subject meets with 9.190)
Prereq: (6.0002 and (6.041, 9.40, or 24.900)) or permission of instructor
Units: 4-0-8
Add to schedule Lecture: MW9.30-11 (VIRTUAL) Recitation: F9 (VIRTUAL)
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Introduces computational approaches to natural language processing and acquisition by humans and machines, combining symbolic and probabilistic modeling techniques. Covers models such as n-grams, finite state automata, and context-free and mildly context-sensitive grammars, for analyzing phonology, morphology, syntax, semantics, pragmatics, and larger document structure. Applications range from accurate document classification and sentence parsing by machine to modeling human language acquisition and real-time understanding. Covers both theory and contemporary computational tools and datasets. Students taking graduate version complete additional assignments.
R. P. Levy
No textbook information available