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Papers

Democratizing Neural Machine Translation with OPUS-MT

2022-12-04 · 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.

📄 PDF Abstract BibTeX arXiv:2212.01936

Code (2)

Helsinki-NLP/OPUS-MT-train 공식 구현
helsinki-nlp/opus-mt 공식 구현

Tasks

Machine TranslationTranslation

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