9.19 Computational Psycholinguistics


Class Info

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.

This class has 6.00, 6.041B, 9.40, and 24.900 as prerequisites.

9.19 will be offered this semester (Spring 2018). It is instructed by R. P. Levy.

Lecture occurs 9:30 AM to 11:00 AM on Mondays and Wednesdays in 46-4199.

This class counts for a total of 12 credits.

You can find more information at the http://www.google.com/search?&q=MIT+%2B+9.19&btnG=Google+Search&inurl=https site or on the 9.19 Stellar site.

MIT 9.19 Computational Psycholinguistics Related Textbooks

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