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OpenNMT: Neural Machine Translation Toolkit

  • arXiv (Cornell University)
  • Cornell University
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Paper overview

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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Publication details

DOI
10.48550/arxiv.1805.11462
OpenAlex
W2805430026
Document type
preprint
Language
EN
Source
arXiv (Cornell University)
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