@inproceedings{nieminen-2021-opus,
    title = "{OPUS}-{CAT}: Desktop {NMT} with {CAT} integration and local fine-tuning",
    author = "Nieminen, Tommi",
    editor = "Gkatzia, Dimitra  and
      Seddah, Djam{\'e}",
    booktitle = "Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations",
    month = apr,
    year = "2021",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/2021.eacl-demos.34/",
    doi = "10.18653/v1/2021.eacl-demos.34",
    pages = "288--294",
    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."
}