MMT: New Open Source MT for the Translation Industry

Nicola Bertoldi, Roldano Cattoni, Mauro Cettolo, Amin Farajian, Marcello Federico, Davide Caroselli, Luca Mastrostefano, Andrea Rossi, Marco Trombetti, Ulrich Germann, David Madl

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

MMT is a new open source machine translation software specifically addressing the needs of the translation industry. In this paper we describe its overall architecture and provide details about its major components. We report performance results on a multi-domain benchmark based on public data, on two translation directions, by comparing MMT against state-of-the art commercial and research phrase-based and neural MT systems.
Original languageEnglish
Title of host publicationThe 20th Annual Conference of the European Association for Machine Translation (EAMT)
Number of pages6
Publication statusPublished - 31 May 2017
Event20th Annual Conference of the European Association for Machine Translation - Prague, Czech Republic
Duration: 29 May 201731 May 2017
https://ufal.mff.cuni.cz/eamt2017/

Conference

Conference20th Annual Conference of the European Association for Machine Translation
Abbreviated titleEAMT 2017
CountryCzech Republic
CityPrague
Period29/05/1731/05/17
Internet address

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