Democratizing neural machine translation with OPUS-MT.

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 ongoing mission of increasing language coverage and translation qual...

Descripción completa

Detalles Bibliográficos
Publicado en:	Language Resources & Evaluation Vol. 58; no. 2; pp. 713 - 756
Autores principales:	Tiedemann, Jörg, Aulamo, Mikko, Bakshandaeva, Daria, Boggia, Michele, Grönroos, Stig-Arne, Nieminen, Tommi, Raganato, Alessandro, Scherrer, Yves, Vázquez, Raúl, Virpioja, Sami
Formato:	Artículo
Publicado:	Springer Nature Jun2024
Materias:	Machine translating Translating & interpreting
Acceso en línea:	Ver este registro en EBSCOhost

Descripción
Sumario:	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 ongoing mission of increasing language coverage and translation quality, and also describe work on the development of modular translation models and speed-optimized compact solutions for real-time translation on regular desktops and small devices.