OPUS-CAT: Desktop NMT with CAT integration and local fine-tuning

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Abstract

OPUS-CAT is a collection of software which enables translators to use neural machine translation in computer-assisted translation tools without exposing themselves to security and confidentiality risks inherent in online machine translation. OPUS-CAT uses the public OPUS-MT machine translation models, which are available for over a thousand language pairs. The generic OPUS-MT models can be fine-tuned with OPUS-CAT on the desktop using data for a specific client or domain.

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APA

Nieminen, T. (2021). OPUS-CAT: Desktop NMT with CAT integration and local fine-tuning. In EACL 2021 - 16th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the System Demonstrations (pp. 288–294). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/2021.eacl-demos.34

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