Papers › Democratizing Neural Machine Translation with OPUS-MT

Democratizing Neural Machine Translation with OPUS-MT

4 Dec 2022arXiv:2212.01936archive 2025-07-28

Jörg Tiedemann, Mikko Aulamo, Daria Bakshandaeva, Michele Boggia, Stig-Arne Grönroos, Tommi Nieminen, Alessandro Raganato, Yves Scherrer, Raul Vazquez, Sami Virpioja

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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Helsinki-NLP/OPUS-MT-train officialmentioned in paperMIT report
helsinki-nlp/opus-mt officialmentioned in paperMIT report

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