Date | Topic | Readings (starred=graduate level) |
---|---|---|
Aug 30 |
Introduction
[Video] [Youtube] |
|
Sep 01 |
Basics in Language and Probability
[Video] [Youtube] |
|
Sep 06 |
Language Models
[Video] [Youtube] |
|
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] |
|
Oct 11 |
Machine Learning Tricks
[Video] [Youtube] |
|
Oct 13 |
Alternative Architectures
[Video] [Youtube] [2022 Version of Slides] |
|
Oct 18 |
Words and Morphology
[Video] [Youtube] |
|
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] |
|
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 |