OpenNMT: Neural Machine Translation Toolkit

Guillaume Klein, Yoon Kim, Yuntian Deng, Vincent Nguyen, Jean Senellart +1 more
5/28/2018
cs.CL

Official code: EdinburghNLP/nematus (805 stars, BSD-3-Clause, last commit 2022-12-09).

Abstract

OpenNMT is an open-source toolkit for neural machine translation (NMT). The system 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. OpenNMT has been used in several production MT systems, modified for numerous research papers, and is implemented across several deep learning frameworks.

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Code Implementations(1)

EdinburghNLP/nematusOfficial100%
BSD-3-Clause

Open-Source Neural Machine Translation in Tensorflow

805264Hack, PerlApr 26, 20163 years agoBSD-3-Clause
machine-translationmtneural-machine-translationnmtsequence-to-sequence

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Cite this paper

@article{klein2018opennmt,
  title  = {OpenNMT: Neural Machine Translation Toolkit},
  author = {Guillaume Klein and Yoon Kim and Yuntian Deng and Vincent Nguyen and Jean Senellart and Alexander M. Rush},
  year   = {2018},
  eprint = {1805.11462},
  archivePrefix = {arXiv},
  url    = {https://arxiv.org/abs/1805.11462}
}

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