SMUGRI-MT - Machine Translation System for Low-Resource Finno-Ugric Languages
Taido Purason, Aleksei Ivanov, Lisa Yankovskaya, Mark Fishel
Abstract
We introduce SMUGRI-MT, an online neural machine translation system that covers 20 low-resource Finno-Ugric languages, along with seven high-resource languages.- Anthology ID:
- 2024.eamt-2.16
- Volume:
- Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 2)
- Month:
- June
- Year:
- 2024
- Address:
- Sheffield, UK
- Editors:
- Carolina Scarton, Charlotte Prescott, Chris Bayliss, Chris Oakley, Joanna Wright, Stuart Wrigley, Xingyi Song, Edward Gow-Smith, Mikel Forcada, Helena Moniz
- Venue:
- EAMT
- SIG:
- Publisher:
- European Association for Machine Translation (EAMT)
- Note:
- Pages:
- 31–32
- Language:
- URL:
- https://preview.aclanthology.org/ingest_wac_2008/2024.eamt-2.16/
- DOI:
- Cite (ACL):
- Taido Purason, Aleksei Ivanov, Lisa Yankovskaya, and Mark Fishel. 2024. SMUGRI-MT - Machine Translation System for Low-Resource Finno-Ugric Languages. In Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 2), pages 31–32, Sheffield, UK. European Association for Machine Translation (EAMT).
- Cite (Informal):
- SMUGRI-MT - Machine Translation System for Low-Resource Finno-Ugric Languages (Purason et al., EAMT 2024)
- PDF:
- https://preview.aclanthology.org/ingest_wac_2008/2024.eamt-2.16.pdf