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Democratizing Neural Machine Translation with OPUS-MT

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arxiv 2212.01936 v3 pith:VIBDHMWC submitted 2022-12-04 cs.CL

Jörg Tiedemann , Mikko Aulamo , Daria Bakshandaeva , Michele Boggia , Stig-Arne Grönroos , Tommi Nieminen , Alessandro Raganato , Yves Scherrer
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Raul Vazquez Sami Virpioja
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classification cs.CL
keywords translationdevelopmentmachinemodelson-goingapplicationscompactcoverage
verification ladder T0 review T1 audit T2 compute T3 formal
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This paper presents the OPUS ecosystem with a focus on the development of open machine translation models and tools, and their integration into end-user applications, development platforms and professional workflows. We discuss our on-going mission of increasing language coverage and translation quality, and also describe on-going work on the development of modular translation models and speed-optimized compact solutions for real-time translation on regular desktops and small devices.

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