Democratizing neural machine translation with OPUS-MT
Language Resources and Evaluation, 2024•Springer
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.
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.
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 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.
Springer
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