Democratizing Neural Machine Translation with OPUS-MT

Autor: Tiedemann, Jörg, Aulamo, Mikko, Bakshandaeva, Daria, Boggia, Michele, Grönroos, Stig-Arne, Nieminen, Tommi, Raganato, Alessandro, Scherrer, Yves, Vazquez, Raul, Virpioja, Sami
Rok vydání: 2022
Předmět:
Druh dokumentu: Working Paper
Popis: 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.
Databáze: arXiv