The OPUS-MT dashboard is a web-based platform that provides a comprehensive overview of open translation models. We focus on a systematic collection of benchmark results with verifiable translation performance and large coverage in terms of languages and domains. We provide results for in-house OPUS-MT and Tatoeba models as well as external models from the Huggingface repository and usercontributed translations. The functionalities of the evaluation tool include summaries of benchmarks for over 2,300 models covering 4,560 language directions and 294 languages, as well as the inspection of predicted translations against their human reference. We focus on centralization, reproducibility and coverage of MT evaluation combined with scalability. The dashboard can be accessed live at https://opus.nlpl.eu/dashboard/.
CITATION STYLE
Tiedemann, J., & Gibert, O. D. (2023). The opus-mt dashboard-A toolkit for a systematic evaluation of open machine translation models. In Proceedings of the Annual Meeting of the Association for Computational Linguistics (Vol. 3, pp. 315–327). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/2023.acl-demo.30
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