Abstract
This paper describes the PROMT submissions for the WMT23 Shared General Translation Task. This year we participated in two directions of the Shared Translation Task: English to Russian and Russian to English. Our models are trained with the MarianNMT toolkit using the transformer-big configuration. We use BPE for text encoding, both models are unconstrained. We achieve competitive results according to automatic metrics in both directions.- Anthology ID:
- 2023.wmt-1.12
- Volume:
- Proceedings of the Eighth Conference on Machine Translation
- Month:
- December
- Year:
- 2023
- Address:
- Singapore
- Editors:
- Philipp Koehn, Barry Haddow, Tom Kocmi, Christof Monz
- Venue:
- WMT
- SIG:
- SIGMT
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 150–154
- Language:
- URL:
- https://aclanthology.org/2023.wmt-1.12
- DOI:
- 10.18653/v1/2023.wmt-1.12
- Cite (ACL):
- Alexander Molchanov and Vladislav Kovalenko. 2023. PROMT Systems for WMT23 Shared General Translation Task. In Proceedings of the Eighth Conference on Machine Translation, pages 150–154, Singapore. Association for Computational Linguistics.
- Cite (Informal):
- PROMT Systems for WMT23 Shared General Translation Task (Molchanov & Kovalenko, WMT 2023)
- PDF:
- https://preview.aclanthology.org/naacl24-info/2023.wmt-1.12.pdf