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Date Topic Readings (starred=graduate level)
Aug 30 Introduction
[Video] [Youtube]
Sep 01 Basics in Language and Probability
[Video] [Youtube]
  • Koehn (2010), Statistical Machine Translation, Chapter 2.1 and 3
Sep 06 Language Models
[Video] [Youtube]
  • Koehn (2010), Statistical Machine Translation, Chapter 7
Sep 08 IBM Model 1 and the EM Algorithm
[Video] [Youtube]
Sep 13 Phrase-Based Models
[Video] [Youtube]
Sep 15 Decoding
[Video] [Youtube] [Demo]
Sep 20 Evaluation
[Video] [Youtube]
Sep 22 Introduction to Neural Networks
[Video] [Youtube]
Sep 27 Computation Graphs
[Video] [Youtube]
Sep 29 Neural Language Models
[Video] [Youtube]
Oct 04 Neural Translation Models
[Video] [Youtube]
Oct 06 Decoding in Neural Translation Models
[Video] [Youtube]
  • Koehn (2020), Neural Machine Translation, Chapter 9
Oct 11 Machine Learning Tricks
[Video] [Youtube]
  • Koehn (2020), Neural Machine Translation, Chapter 10
Oct 13 Alternative Architectures
[Video] [Youtube] [2022 Version of Slides]
Oct 18 Words and Morphology
[Video] [Youtube]
  • Koehn (2010), Statistical Machine Translation, Chapter 10.2
  • Koehn (2020), Neural Machine Translation, Chapter 12
Oct 25 Adaptation
[Video] [Youtube]
Oct 27 Beyond Parallel Data
[Video] [Youtube]
Nov 01 Syntax and Semantics
[Video] [Youtube]
Nov 03 Current Challenges
[Video] [Youtube]
Nov 08 Corpus Acquisition from the Internet
[Video] [Youtube]
Nov 10 Analysis and Visualization
[Video] [Youtube]
  • Koehn (2020), Neural Machine Translation, Chapter 17
Nov 15 Speech Translation
Nov 17 Computer Aided Translation
[Video] [Youtube]
Nov 29 Project Presentations
Dec 01 Project Presentations
Dec 06 Project Presentations
Dec 08 Project Presentations