English

Democratizing Neural Machine Translation with OPUS-MT

Computation and Language 2023-07-06 v3

Abstract

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.

Keywords

Cite

@article{arxiv.2212.01936,
  title  = {Democratizing Neural Machine Translation with OPUS-MT},
  author = {Jörg Tiedemann and Mikko Aulamo and Daria Bakshandaeva and Michele Boggia and Stig-Arne Grönroos and Tommi Nieminen and Alessandro Raganato and Yves Scherrer and Raul Vazquez and Sami Virpioja},
  journal= {arXiv preprint arXiv:2212.01936},
  year   = {2023}
}
R2 v1 2026-06-28T07:21:42.568Z