Dubformer at WMT26 General MT: Translating the Video, Not the Transcript

Sergey Dukanov, Maria Tsyurupa, Anton Dvorkovich


Abstract
We describe the system Dubformer entered in the WMT26 General MT shared task, an un- constrained system built on our video-dubbing pipeline. It rests on two commitments. A doc- ument is never translated as raw text: it is first decomposed into a structure chosen for its do- main — scenes carrying speaker and audio- visual context for spoken dialogue, markup- masked segments for web documents, value- only segments for localization resources — so that non-linguistic material is protected by construction and everything needed for consis- tency is in front of the model at once. And no translation is taken on trust: every segment is checked by a second model from a different family for hallucination and for drift from the meaning of the source, and a segment it rejects is re-translated with the reason attached rather than filled in from a fallback.
Anthology ID:
2026.wmt-main.63
Volume:
Proceedings of the Eleventh Conference on Machine Translation
Month:
October
Year:
2026
Address:
Budapest, Hungary
Editors:
Barry Haddow, Tom Kocmi, Philipp Koehn, Christof Monz
Venues:
WMT | WS
SIG:
SIGMT
Publisher:
Association for Computational Linguistics
Note:
Pages:
1231–1234
Language:
URL:
https://aclanthology.org/2026.wmt-main.63/
DOI:
Bibkey:
Cite (ACL):
Sergey Dukanov, Maria Tsyurupa, and Anton Dvorkovich. 2026. Dubformer at WMT26 General MT: Translating the Video, Not the Transcript. In Proceedings of the Eleventh Conference on Machine Translation, pages 1231–1234, Budapest, Hungary. Association for Computational Linguistics.
Cite (Informal):
Dubformer at WMT26 General MT: Translating the Video, Not the Transcript (Dukanov et al., WMT 2026)
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PDF:
https://aclanthology.org/2026.wmt-main.63.pdf