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Papers

XNMT: The eXtensible Neural Machine Translation Toolkit

2018-03-01 · WS 2018 3 · 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

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

📄 PDF Abstract BibTeX arXiv:1803.00188

Code (1)

neulab/xnmt 공식 구현

Tasks

Machine TranslationNMTspeech-recognitionSpeech RecognitionTranslation

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