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Date Topic Readings (starred=graduate level)
Aug 27 Introduction
[Video] [Youtube]
Aug 29 Basics in Language and Probability
[Video] [Youtube]
  • Koehn (2010), Statistical Machine Translation, Chapter 2.1 and 3
Sep 03 Language Models
[Video] [Youtube]
  • Koehn (2010), Statistical Machine Translation, Chapter 7
Sep 05 IBM Model 1 and the EM Algorithm
[Video] [Youtube]
Sep 10 Phrase-Based Models
[Video] [Youtube]
Sep 12 Decoding
[Video] [Youtube] [Demo]
Sep 17 Evaluation
[Video] [Youtube]
Sep 19 Introduction to Neural Networks
[Video] [Youtube]
Sep 24 Computation Graphs
[Video] [Youtube]
Sep 26 Neural Language Models
[Video] [Youtube]
Oct 01 Neural Translation Models
[Video] [Youtube]
Oct 03 Decoding in Neural Translation Models
[Video] [Youtube]
  • Koehn (2020), Neural Machine Translation, Chapter 9
Oct 08 Machine Learning Tricks
[Video] [Youtube]
  • Koehn (2020), Neural Machine Translation, Chapter 10
Oct 10 Alternative Architectures
[Video] [Youtube]
Oct 15 Linguistic Intermezzo
[Video] [Youtube] [Video 2] [Youtube 2]
Oct 22 Beyond Parallel Data
[Video] [Youtube]
Oct 24 Large Language Models
Oct 29 Adaptation
[Video] [Youtube]
Oct 31 Current Challenges
[Video] [Youtube]
Nov 05 Corpus Acquisition from the Internet
[Video] [Youtube]
Nov 07 Analysis and Visualization
[Video] [Youtube]
  • Koehn (2020), Neural Machine Translation, Chapter 17
Nov 12 Computer Aided Translation
[Video] [Youtube]
Nov 14 Speech Translation
Nov 19 Project Presentations
Nov 21 Project Presentations
Dec 03 Project Presentations
Dec 05 Project Presentations