From open parallel corpora to public translation tools : The success story of OPUS

This paper describes the success of OPUS, starting from a small side-project but leading to a full-fledged ecosystem for training and deploying open machine translation systems. We briefly present the current state of the framework focusing on the mission of increasing language coverage and translation quality in public translation models and tools that can easily be integrated in end-user applications and professional workflows. OPUS now provides the biggest hub of freely available parallel data and thousands of open translation models have been released supporting hundreds of languages in various combinations.Non peer reviewe