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OpenNMT: Open-Source Toolkit for Neural Machine Translation

Guillaume Klein,Yoon Kim,2 Authors,Alexander M. Rush

2017 · DOI: 10.18653/V1/P17-4012
Annual Meeting of the Association for Computational Linguistics · 1,972 Citations

TLDR

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.

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.