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OpenNMT: Open-Source Toolkit for Neural Machine Translation
Open accessAbstract
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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Cites
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Deep Learning Scaling is Predictable, Empirically
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BackgroundPrevent the Language Model from being Overconfident in Neural Machine Translation
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Metadata
- Authors
- Klein, G., Kim, Y., Deng, Y., Senellart, J., & Rush, A.
- Venue
- Proceedings of ACL 2017, System Demonstrations
- Published
- 2017
- Pages
- 67-72
- OpenAlex
- W2574872930
- Cited by
- 1,749
- References
- 8
- FWCI
- 131.35
- Type
- conference paper
- Language
- en
- Open access
- gold
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