XNMT: The eXtensible Neural Machine Translation Toolkit

XNMT is a neural machine translation toolkit that focuses on modular code design, making it easy to swap in and out different parts of the model.

Data and Resources

Cite this as

Graham Neubig, Matthias Sperber, Xinyi Wang, Matthieu Felix, Austin Matthews, Sarguna Padmanabhan, Ye Qi, Devendra Singh Sachan, Philip Arthur, Pierre Godard, John Hewitt, Rachid Riad, Liming Wang (2024). Dataset: XNMT: The eXtensible Neural Machine Translation Toolkit. https://doi.org/10.57702/mau3y5uc

DOI retrieved: December 16, 2024

Additional Info

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Created December 16, 2024
Last update December 16, 2024
Defined In https://doi.org/10.48550/arXiv.1803.00188
Author Graham Neubig
More Authors
Matthias Sperber
Xinyi Wang
Matthieu Felix
Austin Matthews
Sarguna Padmanabhan
Ye Qi
Devendra Singh Sachan
Philip Arthur
Pierre Godard
John Hewitt
Rachid Riad
Liming Wang
Homepage https://github.com/neulab/xnmt