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.