a fast, mature decoder, alignment, and modeling toolkit for statistical machine translation and similar structure-prediction problems.

Author(s)

Description

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:

IP Agreement

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.

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