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Date Topic Readings (starred=graduate level)
Aug 26 Introduction
[Video] [Youtube]
Aug 28 Basics in Language and Probability
[Video] [Youtube]
  • Koehn (2010), Statistical Machine Translation, Chapter 2.1 and 3
Sep 02 Language Models
[Video] [Youtube]
  • Koehn (2010), Statistical Machine Translation, Chapter 7
Sep 04 IBM Model 1 and the EM Algorithm
[Video] [Youtube]
Sep 09 Phrase-Based Models and Decoding
[Video] [Youtube] [Video 2] [Youtube 2] [Demo]
  • Koehn (2010), Statistical Machine Translation, Chapter 5, 6
Sep 11 Evaluation
[Video] [Youtube]
Sep 16 Introduction to Neural Networks
[Video] [Youtube]
Sep 18 Computation Graphs
[Video] [Youtube]
Sep 23 Neural Language Models
[Video] [Youtube]
Sep 25 Neural Translation Models
[Video] [Youtube]
Sep 30 Decoding in Neural Translation Models
[Video] [Youtube]
  • Koehn (2020), Neural Machine Translation, Chapter 9
Oct 02 Machine Learning Tricks
[Video] [Youtube]
  • Koehn (2020), Neural Machine Translation, Chapter 10
Oct 07 Alternative Architectures
[Video] [Youtube]
Oct 09 Linguistic Intermezzo
[Video] [Youtube] [Video 2] [Youtube 2]
Oct 14 Beyond Parallel Data
[Video] [Youtube]
Oct 21 Large Language Models
Oct 23 Adaptation
[Video] [Youtube]
Oct 28 Preference Training and Agents
Oct 30 Current Challenges
[Video] [Youtube]
Nov 04 Corpus Acquisition from the Internet
[Video] [Youtube]
Nov 06 Analysis and Visualization
[Video] [Youtube]
  • Koehn (2020), Neural Machine Translation, Chapter 17
Nov 11 Computer Aided Translation
[Video] [Youtube]
Nov 13 Speech Translation
Nov 18 Project Presentations
Nov 20 Project Presentations
Dec 02 Project Presentations
Dec 04 Project Presentations