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Brown University

 

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Detailed Course Information

 

Spring 2017
Sep 16, 2019
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CSCI 1460 - Computational Linguistics
Introduction to computational linguistics (also known as natural-language processing) including the related mathematics and several programming projects. Particular topics include: language modeling (as used in e.g., speech recognition, machine translation), machine translation, part-of-speech labeling, syntactic parsing, and topic modeling. Mathematical techniques include basic probability, noisy channel models, the EM (Expectation-Maximization) algorithm, hidden Markov models, probabilistic context-free grammars, and the forward-backward algorithm. Not open to first year students.
1.000 Credit hours
1.000 Lecture hours

Levels: Graduate, Undergraduate
Schedule Types: Primary Meeting

Computer Science Department

Restrictions:
Must be enrolled in one of the following Classifications:     
      Semester Level 04
      Semester Level 05
      Semester Level 06
      Semester Level 13
      Semester Level 08
      Semester Level 09
      Semester Level 10
      Semester Level 11
      Semester Level 12
      Semester Level 03
      Semester Level 07

Prerequisites:
(Undergraduate level CSCI 0160 Minimum Grade of S or Undergraduate level CSCI 0180 Minimum Grade of S or Undergraduate level CSCI 0190 Minimum Grade of S) and (Undergraduate level CSCI 0220 Minimum Grade of S or Undergraduate level CSCI 1450 Minimum Grade of S or Undergraduate level APMA 1650 Minimum Grade of S)

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