What is cdec?

cdec is a decoder, aligner, and learning framework for statistical machine translation and similar structured prediction models developed by Chris Dyer at the Language Technologies Institute in Carnegie Mellon University, his students, and lots of volunteers. It supports:


Source code

cdec is developed on Github, and interested developers are encouraged to fork us, develop the project further, and submit pull requests.


If you make use of cdec, please cite:

C. Dyer, A. Lopez, J. Ganitkevitch, J. Weese, F. Ture, P. Blunsom, H. Setiawan, V. Eidelman, and P. Resnik. cdec: A Decoder, Alignment, and Learning Framework for Finite-State and Context-Free Translation Models. In Proceedings of ACL, July, 2010. [bibtex]


The cdec source code is released under the terms of the Apache License, Version 2.0. The libLBFGS library source code is distributed with cdec, and it is released under the terms of the MIT License.


cdec was developed and is supported in part by grants from DARPA, the National Science Foundation, and the US Army Research Office.