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XNMT: The eXtensible Neural Machine Translation Toolkit

1 March 2018
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
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Abstract

This paper describes XNMT, the eXtensible Neural Machine Translation toolkit. XNMT distin- guishes itself from other open-source NMT toolkits by its focus on modular code design, with the purpose of enabling fast iteration in research and replicable, reliable results. In this paper we describe the design of XNMT and its experiment configuration system, and demonstrate its utility on the tasks of machine translation, speech recognition, and multi-tasked machine translation/parsing. XNMT is available open-source at https://github.com/neulab/xnmt

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