COGST 4240
Last Updated
- Schedule of Classes - February 7, 2022 11:35AM EST
- Course Catalog - January 18, 2022 1:31PM EST
Classes
COGST 4240
Course Description
Course information provided by the Courses of Study 2021-2022.
Computational models of natural languages. Topics are drawn from: tree syntax and context free grammar, finite state generative morpho-phonology, feature structure grammars, logical semantics, tabular parsing, Hidden Markov models, categorial and minimalist grammars, text corpora, information-theoretic sentence processing, discourse relations, and pronominal coreference.
When Offered Spring.
Prerequisites/Corequisites Prerequisite: Elementary Python (CS 1133 suffices), LING 1101 or CS 2800 or PHIL 2310. Prerequisite for CS majors: Elementary Python and CS 2800.
Distribution Category (MQR-AS, SMR-AS)
Regular Academic Session. Combined with: CS 4744, LING 4424, LING 6424
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Credits and Grading Basis
4 Credits Stdnt Opt(Letter or S/U grades)
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Class Number & Section Details
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Meeting Pattern
- TR Klarman Hall KG70
- Jan 24 - May 10, 2022
Instructors
van Schijndel, M
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Additional Information
Instruction Mode: In Person
Prerequisites: LING 1101 or equivalent background in linguistics and CS 2110 or equivalent preparation in computer science.
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