EN.500.111 HEART: Breaking the Language Barrier: Recent Advances in Neural Machine Translation

Course description:

This course will introduce the research area of machine translation and recent advances in the field. We’ll focus on models that can translate multiple languages simultaneously, which play an increasingly important role in commercial systems. At the end of the course, students will be able to reason about big data as well as cross-lingual linguistic phenomena and understand how existing machine translation systems work.

Class 1 (9/10, 9/14): Introduction to Machine Translation

Class 2 (9/17, 9/21): Deep Learning

Class 3 (9/24, 9/28): Neural Language Modeling

Class 4 (10/1, 10/5): Neural Machine Translation

Class 5 (10/8, 10/12): Language-Specific Challenges

Class 6 (10/15, 10/19): Word Embeddings

Class 7 (10/26, 10/29): Cross-Lingual Word Embeddings

Class 8 (11/2, 11/5): Multilingual Machine Translation

Class 9 (11/9, 11/12): Open Problems

Class 10 (11/16, 11/19): Final Presentations