COGST 4240
Last Updated
- Schedule of Classes - September 9, 2021 7:14PM EDT
- Course Catalog - September 9, 2021 7:15PM EDT
Classes
COGST 4240
Course Description
Course information provided by the Courses of Study 2020-2021.
Computational models of natural languages. Topics include tree syntax and treebank databases; broad-coverage probabilistic grammars; finite state generative phonology; computational semantics; computational minimalist grammar; finite state optimality-theoretic phonology; Hidden Markov models of acoustic realization; text and speech corpora; lab methods in Unix/Linux environment.
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)
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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 Online Meeting
- Feb 8 - May 14, 2021
Instructors
Rooth, M
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Additional Information
Instruction Mode: Online
Prerequisites: LING 1101 or equivalent background in linguistics and CS 2110 or equivalent preparation in computer science.
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