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Neural Machine Translation Fall 2016

This is a special topics course entitled “Neural Machine Translation”. This is an advanced graduate seminar course is about recursive neural network models for machine translation (for natural languages such as English, Chinese, Tagalog, etc.). You will require some background in statistical machine translation and language models. This course will not be a tutorial on deep learning in general. The main goal of the course will be to work on writing our own end to end neural machine translation system. The course will cover recent developments in neural machine translation and we hope to discuss and solve issues with the long tail (limited vocabulary size in neural MT) and in the proper modeling of alignment (aka attention).

Anoop Sarkar
Office Hours: Mondays 3pm-4pm TASC1 9427
Discussion Board
on Coursys
Time and place
MWF 11:30-12:20, SECB 1011
No required textbook. Online readings provided in Syllabus.
Submit project source code and check your grades on Coursys
  • In class presentations: 40%
  • Project stages: 30%
  • Final project: 30%. Due on December 15, 2016
Presentation Sign-up
In Class Presentation Sign-up