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Abstract / Description of output
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 language | English |
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Title of host publication | The 20th Annual Conference of the European Association for Machine Translation (EAMT) |
Number of pages | 6 |
Publication status | Published - 31 May 2017 |
Event | 20th Annual Conference of the European Association for Machine Translation - Prague, Czech Republic Duration: 29 May 2017 → 31 May 2017 https://ufal.mff.cuni.cz/eamt2017/ |
Conference
Conference | 20th Annual Conference of the European Association for Machine Translation |
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Abbreviated title | EAMT 2017 |
Country/Territory | Czech Republic |
City | Prague |
Period | 29/05/17 → 31/05/17 |
Internet address |
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