2017 OpenNMTOpenSourceToolkitforNeur

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Subject Headings: OpenNMT, Neural Machine Translstion; ML Toolkit.

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Abstract

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.

References

BibTeX

@inproceedings{2017_OpenNMTOpenSourceToolkitforNeur,
  author    = {Guillaume Klein and
               Yoon Kim and
               Yuntian Deng and
               Jean Senellart and
               Alexander M. Rush},
  editor    = {Mohit Bansal and
               Heng Ji},
  title     = {OpenNMT: Open-Source Toolkit for Neural Machine Translation},
  booktitle = {Proceedings of the 55th Annual Meeting of the Association for Computational
               Linguistics (ACL 2017)  System Demonstrations , Vancouver, Canada, July 30 - August 4,},
  pages     = {67--72},
  publisher = {Association for Computational Linguistics},
  year      = {2017},
  url       = {https://doi.org/10.18653/v1/P17-4012},
  doi       = {10.18653/v1/P17-4012},
}


 AuthorvolumeDate ValuetitletypejournaltitleUrldoinoteyear
2017 OpenNMTOpenSourceToolkitforNeurYuntian Deng
Alexander M. Rush
Yoon Kim
Guillaume Klein
Jean Senellart
OpenNMT: Open-Source Toolkit for Neural Machine Translation2017