GoURMET – Machine Translation for Low-Resourced Languages
Peggy van der Kreeft, Alexandra Birch, Sevi Sariisik, Felipe Sánchez-Martínez, Wilker Aziz
Abstract
The GoURMET project, funded by the European Commission’s H2020 program (under grant agreement 825299), develops models for machine translation, in particular for low-resourced languages. Data, models and software releases as well as the GoURMET Translate Tool are made available as open source.- Anthology ID:
- 2022.eamt-1.59
- Volume:
- Proceedings of the 23rd Annual Conference of the European Association for Machine Translation
- Month:
- June
- Year:
- 2022
- Address:
- Ghent, Belgium
- Editors:
- Helena Moniz, Lieve Macken, Andrew Rufener, Loïc Barrault, Marta R. Costa-jussà, Christophe Declercq, Maarit Koponen, Ellie Kemp, Spyridon Pilos, Mikel L. Forcada, Carolina Scarton, Joachim Van den Bogaert, Joke Daems, Arda Tezcan, Bram Vanroy, Margot Fonteyne
- Venue:
- EAMT
- SIG:
- Publisher:
- European Association for Machine Translation
- Note:
- Pages:
- 339–340
- Language:
- URL:
- https://aclanthology.org/2022.eamt-1.59
- DOI:
- Cite (ACL):
- Peggy van der Kreeft, Alexandra Birch, Sevi Sariisik, Felipe Sánchez-Martínez, and Wilker Aziz. 2022. GoURMET – Machine Translation for Low-Resourced Languages. In Proceedings of the 23rd Annual Conference of the European Association for Machine Translation, pages 339–340, Ghent, Belgium. European Association for Machine Translation.
- Cite (Informal):
- GoURMET – Machine Translation for Low-Resourced Languages (van der Kreeft et al., EAMT 2022)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-3/2022.eamt-1.59.pdf