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OpenNMT: Open-Source Toolkit for Neural Machine Translation

About

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.

Guillaume Klein, Yoon Kim, Yuntian Deng, Jean Senellart, Alexander M. Rush• 2017

Related benchmarks

TaskDatasetResultRank
Abstractive SummarizationGigaword (test)
ROUGE-136.73
58
Formality Style TransferGYAFC Family & Relationships 1.0 (test)
BLEU0.403
15
Formality Style TransferGYAFC Entertainment & Music 1.0 (test)
BLEURT-0.919
15
Abstractive SummarizationGigaword non-anonymized (test)
ROUGE-136.73
7
Word substitution deciphermentYelp
BLEU (20% Sub)99
6
SummarizationGigaword 100 randomly-selected articles (test)
Informativity3.26
6
Word order recoveryYelp
BLEU64.6
5
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Other info

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