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Institution:
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Brown University
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Subject:
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Description:
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Various topics in computer understanding of natural language, primarily from a statistical point of view. Topics include: hidden Markov models, word-tagging models, probabilistic context-free grammars, syntactic disambiguation, semantic word clustering, word-sense disambiguation, machine translation and lexical semantics. Prerequisite: CS 141 (CSCI 1410).
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Credits:
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1.00
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Credit Hours:
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Prerequisites:
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Corequisites:
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Exclusions:
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Level:
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Instructional Type:
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Lecture
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Notes:
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Additional Information:
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Historical Version(s):
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Institution Website:
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Phone Number:
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(401) 863-1000
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Regional Accreditation:
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New England Association of Schools and Colleges
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Calendar System:
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Semester
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