PROMT Systems for WMT23 Shared General Translation Task

Alexander Molchanov, Vladislav Kovalenko


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
Bibkey:
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)
Copy Citation:
PDF:
https://aclanthology.org/2023.wmt-1.12.pdf