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.- Anthology ID:
- 2021.eacl-demos.34
- Volume:
- Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations
- Month:
- April
- Year:
- 2021
- Address:
- Online
- Editors:
- Dimitra Gkatzia, Djamé Seddah
- Venue:
- EACL
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 288–294
- Language:
- URL:
- https://aclanthology.org/2021.eacl-demos.34
- DOI:
- 10.18653/v1/2021.eacl-demos.34
- Cite (ACL):
- Tommi Nieminen. 2021. OPUS-CAT: Desktop NMT with CAT integration and local fine-tuning. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, pages 288–294, Online. Association for Computational Linguistics.
- Cite (Informal):
- OPUS-CAT: Desktop NMT with CAT integration and local fine-tuning (Nieminen, EACL 2021)
- PDF:
- https://preview.aclanthology.org/naacl24-info/2021.eacl-demos.34.pdf
- Data
- OPUS-MT