EdinSaar@WMT21: North-Germanic Low-Resource Multilingual NMT

Svetlana Tchistiakova, Jesujoba Alabi, Koel Dutta Chowdhury, Sourav Dutta, Dana Ruiter


Abstract
We describe the EdinSaar submission to the shared task of Multilingual Low-Resource Translation for North Germanic Languages at the Sixth Conference on Machine Translation (WMT2021). We submit multilingual translation models for translations to/from Icelandic (is), Norwegian-Bokmal (nb), and Swedish (sv). We employ various experimental approaches, including multilingual pre-training, back-translation, fine-tuning, and ensembling. In most translation directions, our models outperform other submitted systems.
Anthology ID:
2021.wmt-1.44
Volume:
Proceedings of the Sixth Conference on Machine Translation
Month:
November
Year:
2021
Address:
Online
Editors:
Loic Barrault, Ondrej Bojar, Fethi Bougares, Rajen Chatterjee, Marta R. Costa-jussa, Christian Federmann, Mark Fishel, Alexander Fraser, Markus Freitag, Yvette Graham, Roman Grundkiewicz, Paco Guzman, Barry Haddow, Matthias Huck, Antonio Jimeno Yepes, Philipp Koehn, Tom Kocmi, Andre Martins, Makoto Morishita, Christof Monz
Venue:
WMT
SIG:
SIGMT
Publisher:
Association for Computational Linguistics
Note:
Pages:
368–375
Language:
URL:
https://aclanthology.org/2021.wmt-1.44
DOI:
Bibkey:
Cite (ACL):
Svetlana Tchistiakova, Jesujoba Alabi, Koel Dutta Chowdhury, Sourav Dutta, and Dana Ruiter. 2021. EdinSaar@WMT21: North-Germanic Low-Resource Multilingual NMT. In Proceedings of the Sixth Conference on Machine Translation, pages 368–375, Online. Association for Computational Linguistics.
Cite (Informal):
EdinSaar@WMT21: North-Germanic Low-Resource Multilingual NMT (Tchistiakova et al., WMT 2021)
Copy Citation:
PDF:
https://aclanthology.org/2021.wmt-1.44.pdf