Day 1 will introduce students to the problem of learning to translate automatically from parallel data with students implementing some simple word alignment algorithms.
Day 2 will cover the basics of Neural Machine Translation with students getting hands-on experience with a simple encoder-decoder model for themselves.
Prerequisites: a basic working knowledge of Python and ability to compile and run c++ code from github would be useful.
The course is taught in english.
|Date and time||Class|Name||Venue|short||Materials|
|Лекция 1, Lecture||ПОМИ РАН||video|
|Лекция 2, Lecture||ПОМИ РАН||No|
|Лекция 3, Lecture||ПОМИ РАН||video|
|Лекция 4, Lecture||ПОМИ РАН||No|
|Лекция 5, Lecture||ПОМИ РАН||No|