Democratizing neural machine translation with OPUS-MT

Research output: Contribution to journalArticleScientificpeer-review

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.

Original languageEnglish
JournalLanguage Resources and Evaluation
Number of pages43
ISSN1574-020X
DOIs
Publication statusPublished - 13 Dec 2023
MoE publication typeA1 Journal article-refereed

Fields of Science

  • Computer-assisted translation
  • Neural machine translation
  • Open source
  • Parallel corpora
  • 6121 Languages
  • 113 Computer and information sciences

Cite this