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

Tommi Nieminen


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
Bibkey:
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)
Copy Citation:
PDF:
https://aclanthology.org/2021.eacl-demos.34.pdf
Data
OPUS-MT