Findings of the WMT 2026 Shared Task of the Open Language Data Initiative

Laurie Burchell; David Dale; Jean Maillard; Idris Abdulmumin; Antonios Anastasopoulos; Isaac Caswell; Philipp Koehn

Findings of the WMT 2026 Shared Task of the Open Language Data Initiative

Laurie Burchell, David Dale, Jean Maillard, Idris Abdulmumin, Antonios Anastasopoulos, Isaac Caswell, Philipp Koehn

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Abstract

We present the results of the WMT 2026 shared task of the Open Language Data Initiative (OLDI). Participants were invited to contribute to the massively multilingual open datasets supported by OLDI, FLORES+ and OLDI Seed, or to create new resources in line with OLDI’s ethos. We accepted ten submissions: five extending FLORES+, and five extending other open and massively-parallel datasets (BOUQuET, OLDI Seed, SMOL, and WMT24++). These contributions advance the coverage and quality of multilingual datasets, especially for under-served language varieties. All contributions are released under permissive open-source licenses.

Anthology ID:: 2026.wmt-main.57
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:: 1159–1168
Language:
URL:: https://aclanthology.org/2026.wmt-main.57/
DOI:
Bibkey:
Cite (ACL):: Laurie Burchell, David Dale, Jean Maillard, Idris Abdulmumin, Antonios Anastasopoulos, Isaac Caswell, and Philipp Koehn. 2026. Findings of the WMT 2026 Shared Task of the Open Language Data Initiative. In Proceedings of the Eleventh Conference on Machine Translation, pages 1159–1168, Budapest, Hungary. Association for Computational Linguistics.
Cite (Informal):: Findings of the WMT 2026 Shared Task of the Open Language Data Initiative (Burchell et al., WMT 2026)
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PDF:: https://aclanthology.org/2026.wmt-main.57.pdf

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@inproceedings{burchell-etal-2026-findings,
    title = "Findings of the {WMT} 2026 Shared Task of the Open Language Data Initiative",
    author = "Burchell, Laurie  and
      Dale, David  and
      Maillard, Jean  and
      Abdulmumin, Idris  and
      Anastasopoulos, Antonios  and
      Caswell, Isaac  and
      Koehn, Philipp",
    editor = "Haddow, Barry  and
      Kocmi, Tom  and
      Koehn, Philipp  and
      Monz, Christof",
    booktitle = "Proceedings of the Eleventh Conference on Machine Translation",
    month = oct,
    year = "2026",
    address = "Budapest, Hungary",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2026.wmt-main.57/",
    pages = "1159--1168",
    ISBN = "979-8-89176-474-3",
    abstract = "We present the results of the WMT 2026 shared task of the Open Language Data Initiative (OLDI). Participants were invited to contribute to the massively multilingual open datasets supported by OLDI, FLORES+ and OLDI Seed, or to create new resources in line with OLDI{'}s ethos. We accepted ten submissions: five extending FLORES+, and five extending other open and massively-parallel datasets (BOUQuET, OLDI Seed, SMOL, and WMT24++). These contributions advance the coverage and quality of multilingual datasets, especially for under-served language varieties. All contributions are released under permissive open-source licenses."
}

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%0 Conference Proceedings
%T Findings of the WMT 2026 Shared Task of the Open Language Data Initiative
%A Burchell, Laurie
%A Dale, David
%A Maillard, Jean
%A Abdulmumin, Idris
%A Anastasopoulos, Antonios
%A Caswell, Isaac
%A Koehn, Philipp
%Y Haddow, Barry
%Y Kocmi, Tom
%Y Koehn, Philipp
%Y Monz, Christof
%S Proceedings of the Eleventh Conference on Machine Translation
%D 2026
%8 October
%I Association for Computational Linguistics
%C Budapest, Hungary
%@ 979-8-89176-474-3
%F burchell-etal-2026-findings
%X We present the results of the WMT 2026 shared task of the Open Language Data Initiative (OLDI). Participants were invited to contribute to the massively multilingual open datasets supported by OLDI, FLORES+ and OLDI Seed, or to create new resources in line with OLDI’s ethos. We accepted ten submissions: five extending FLORES+, and five extending other open and massively-parallel datasets (BOUQuET, OLDI Seed, SMOL, and WMT24++). These contributions advance the coverage and quality of multilingual datasets, especially for under-served language varieties. All contributions are released under permissive open-source licenses.
%U https://aclanthology.org/2026.wmt-main.57/
%P 1159-1168

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Markdown (Informal)

[Findings of the WMT 2026 Shared Task of the Open Language Data Initiative](https://aclanthology.org/2026.wmt-main.57/) (Burchell et al., WMT 2026)

Findings of the WMT 2026 Shared Task of the Open Language Data Initiative (Burchell et al., WMT 2026)

ACL

Laurie Burchell, David Dale, Jean Maillard, Idris Abdulmumin, Antonios Anastasopoulos, Isaac Caswell, and Philipp Koehn. 2026. Findings of the WMT 2026 Shared Task of the Open Language Data Initiative. In Proceedings of the Eleventh Conference on Machine Translation, pages 1159–1168, Budapest, Hungary. Association for Computational Linguistics.