Abstract
This paper describes XNMT, the eXtensible Neural Machine Translation toolkit. XNMT distinguishes 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.
Original language | English |
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Title of host publication | The 13th Conference of The Association for Machine Translation in the Americas - Proceedings |
Subtitle of host publication | Vol. 1: MT Researchers’ Track |
Editors | Colin Cherry, Graham Neubig |
Place of Publication | Boston MA USA |
Publisher | Association for Machine Translation in the Americas |
Pages | 185-192 |
Number of pages | 8 |
Publication status | Published - Mar 2018 |
Event | Conference of the Association for Machine Translation in the Americas 2018 - Boston, United States of America Duration: 17 Mar 2018 → 21 Mar 2018 Conference number: 13th http://www.conference.amtaweb.org/ |
Conference
Conference | Conference of the Association for Machine Translation in the Americas 2018 |
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Abbreviated title | ATMA 2018 |
Country/Territory | United States of America |
City | Boston |
Period | 17/03/18 → 21/03/18 |
Internet address |