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://aclanthology.org/2024.eamt-2.16
DOI:
Bibkey:
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)
Copy Citation:
PDF:
https://aclanthology.org/2024.eamt-2.16.pdf