Jump to navigation
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:
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.
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]