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Date Topic Readings (starred=graduate level)
Aug 31 Introduction
[Video] [Youtube]
Sep 02 Basics in Language and Probability
[Video] [Youtube]
  • Koehn (2010), Statistical Machine Translation, Chapter 2.1 and 3
Sep 07 Language Models
[Video] [Youtube]
  • Koehn (2010), Statistical Machine Translation, Chapter 7
Sep 09 IBM Model 1 and the EM Algorithm
[Video] [Youtube]
Sep 14 Phrase-Based Models
[Video] [Youtube]
Sep 16 Decoding
[Video] [Youtube] [Demo]
Sep 21 Evaluation
[Video] [Youtube]
Sep 23 Introduction to Neural Networks
[Video] [Youtube]
Sep 28 Computation Graphs
[Video] [Youtube]
Sep 30 Neural Language Models
[Video] [Youtube]
Oct 05 Neural Translation Models
[Video] [Youtube]
Oct 07 Decoding in Neural Translation Models
[Video] [Youtube]
  • Koehn (2020), Neural Machine Translation, Chapter 9
Oct 12 Machine Learning Tricks
[Video] [Youtube]
  • Koehn (2020), Neural Machine Translation, Chapter 10
Oct 14 Alternative Architectures
[Video] [Youtube]
Oct 19 Words and Morphology
[Video] [Youtube]
  • Koehn (2010), Statistical Machine Translation, Chapter 10.2
  • Koehn (2020), Neural Machine Translation, Chapter 12
Oct 21 Adaptation
[Video] [Youtube]
Oct 26 Beyond Parallel Data
[Video] [Youtube]
Oct 28 Syntax and Semantics
[Video] [Youtube]
Nov 02 Current Challenges
[Video] [Youtube]
Nov 04 Corpus Acquisition from the Internet
[Video] [Youtube]
Nov 09 Analysis and Visualization
[Video] [Youtube]
  • Koehn (2020), Neural Machine Translation, Chapter 17
Nov 11 Speech Translation
Nov 16 Computer Aided Translation
[Video] [Youtube]
Nov 18 No Class
Nov 30 Project Presentations
Dec 02 Project Presentations (online)
Dec 07 Project Presentations
Dec 09 Project Presentations (online)