# OpenNMT: Open-Source Toolkit for Neural Machine Translation

**Authors:** Guillaume Klein, Yoon Kim, Yuntian Deng, Jean Senellart, Alexander M., Rush

arXiv: 1701.02810 · 2017-03-07

## TL;DR

OpenNMT is an open-source toolkit designed to facilitate research and development in neural machine translation by providing a modular, efficient, and extensible platform with comprehensive documentation.

## Contribution

It introduces a flexible, open-source NMT toolkit that supports various model architectures and source modalities, emphasizing efficiency and educational value.

## Key findings

- Supports diverse NMT architectures
- Maintains competitive translation performance
- Offers detailed pedagogical documentation

## 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.

## Full text

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## Figures

3 figures with captions in the complete paper: https://tomesphere.com/paper/1701.02810/full.md

## References

23 references — full list in the complete paper: https://tomesphere.com/paper/1701.02810/full.md

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Source: https://tomesphere.com/paper/1701.02810