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Democratizing Neural Machine Translation with OPUS-MT
December 04, 2022 ยท Declared Dead ยท ๐ Language Resources and Evaluation
"No code URL or promise found in abstract"
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Authors
Jรถrg Tiedemann, Mikko Aulamo, Daria Bakshandaeva, Michele Boggia, Stig-Arne Grรถnroos, Tommi Nieminen, Alessandro Raganato, Yves Scherrer, Raul Vazquez, Sami Virpioja
arXiv ID
2212.01936
Category
cs.CL: Computation & Language
Citations
81
Venue
Language Resources and Evaluation
Last Checked
4 months ago
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.
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