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
- Venue:
- WMT
- SIG:
- SIGMT
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 368–375
- Language:
- URL:
- https://aclanthology.org/2021.wmt-1.44
- DOI:
- 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)
- PDF:
- https://preview.aclanthology.org/ingestion-script-update/2021.wmt-1.44.pdf