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Brown University

 

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Detailed Course Information

 

Spring 2020
Sep 16, 2019
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  Select the desired Level or Schedule Type to find available classes for the course.

CSCI 1460 - Computational Linguistics
The application of computational methods to problems in natural-language processing. In particular we examine techniques due to recent advances in deep learning: word embeddings, recurrent neural networks (e.g., LSTMs), sequence-to-sequence models, and generative adversarial networks (GANs). Programming projects include parsing, machine translation, question answering, and chat-bots. The prerequisite of CS 1470 (or the equivalent background) is very important.
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 07
      Graduate-Doctoral
      Semester Level 09
      Semester Level 10
      Semester Level 11
      Semester Level 12
      Semester Level 13
      Graduate-Masters
      Semester Level 03
      Semester Level 08

Prerequisites:
Undergraduate level CSCI 1470 Minimum Grade of S

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