16920

OpenNMT: Open-Source Toolkit for Neural Machine Translation

Guillaume Klein, Yoon Kim, Yuntian Deng, Jean Senellart, Alexander M. Rush
Harvard University
arXiv:1701.02810 [cs.CL], (10 Jan 2017)

@article{klein2017opennmt,

   title={OpenNMT: Open-Source Toolkit for Neural Machine Translation},

   author={Klein, Guillaume and Kim, Yoon and Deng, Yuntian and Senellart, Jean and Rush, Alexander M.},

   year={2017},

   month={jan},

   archivePrefix={"arXiv"},

   primaryClass={cs.CL}

}

We describe an open-source toolkit for neural machine translation (NMT). The toolkit prioritizes efficiency, modularity, and extensibility with the goal of supporting NMT research into model architectures, feature representations, and source modalities, while maintaining competitive performance and reasonable training requirements. The toolkit consists of modeling and translation support, as well as detailed pedagogical documentation about the underlying techniques.
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