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Brown University



Detailed Course Information


Fall 2019
Feb 28, 2020
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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

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

Undergraduate level CSCI 1470 Minimum Grade of S

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