This directory contains a complete set of course material for a senior undergraduate or graduate-level course in machine translation. We taught it at Johns Hopkins University in spring 2012 and 2014.
All of this material is made available under a Creative Commons Attribution 3.0 Unported License You are free to reuse it any way you like if you acknowledge that you got it from us:
The code and data for the homework assignments are maintained by Adam Lopez and distributed under an MIT License. Feel free to reuse them! DREAMT: Decoding, Reranking, Evaluation, and Alignment for Machine Translation
A web-based live demo of the classic stack decoding algorithm used in word-based statistical machine translation was also used in the class. The code is maintained by Matt Post, and you can get it here.