@inproceedings{robinson-etal-2026-findings,
title = "Findings of the Second Shared Task for Creole Language Machine Translation, at {WMT} 2026",
author = "Robinson, Nathaniel and
Armstrong, Ruth-Ann and
Bizon Monroc, Claire and
Dent, Rasul and
Gupta, Pranav and
Dabre, Raj and
Coy, Andre and
Murray, Kenton",
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.56/",
pages = "1138--1158",
ISBN = "979-8-89176-474-3",
abstract = "We present the second annual Shared Task for Creole Language Machine Translation, the only published shared task specializing in machine translation (MT) methods for Creole languages and their communities, presented at the Conference of Machine Translation (WMT) 2026. We accepted system submissions for two tasks: MT and language identification (LID). We received submissions from eight teams: 13 MT systems from six teams across 88 language directions; and four LID systems from two teams, identifying 11 languages each. Our analysis of MT systems indicates fine-tuning with newly curated datasets and/or synthetic data as an effective strategy for producing state-of-the-art MT. For the LID task, we found that smaller, resource-efficient systems achieved state-of-the-art scores on some languages, especially when paired with data augmentation."
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<abstract>We present the second annual Shared Task for Creole Language Machine Translation, the only published shared task specializing in machine translation (MT) methods for Creole languages and their communities, presented at the Conference of Machine Translation (WMT) 2026. We accepted system submissions for two tasks: MT and language identification (LID). We received submissions from eight teams: 13 MT systems from six teams across 88 language directions; and four LID systems from two teams, identifying 11 languages each. Our analysis of MT systems indicates fine-tuning with newly curated datasets and/or synthetic data as an effective strategy for producing state-of-the-art MT. For the LID task, we found that smaller, resource-efficient systems achieved state-of-the-art scores on some languages, especially when paired with data augmentation.</abstract>
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%0 Conference Proceedings
%T Findings of the Second Shared Task for Creole Language Machine Translation, at WMT 2026
%A Robinson, Nathaniel
%A Armstrong, Ruth-Ann
%A Bizon Monroc, Claire
%A Dent, Rasul
%A Gupta, Pranav
%A Dabre, Raj
%A Coy, Andre
%A Murray, Kenton
%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 robinson-etal-2026-findings
%X We present the second annual Shared Task for Creole Language Machine Translation, the only published shared task specializing in machine translation (MT) methods for Creole languages and their communities, presented at the Conference of Machine Translation (WMT) 2026. We accepted system submissions for two tasks: MT and language identification (LID). We received submissions from eight teams: 13 MT systems from six teams across 88 language directions; and four LID systems from two teams, identifying 11 languages each. Our analysis of MT systems indicates fine-tuning with newly curated datasets and/or synthetic data as an effective strategy for producing state-of-the-art MT. For the LID task, we found that smaller, resource-efficient systems achieved state-of-the-art scores on some languages, especially when paired with data augmentation.
%U https://aclanthology.org/2026.wmt-main.56/
%P 1138-1158
Markdown (Informal)
[Findings of the Second Shared Task for Creole Language Machine Translation, at WMT 2026](https://aclanthology.org/2026.wmt-main.56/) (Robinson et al., WMT 2026)
ACL
- Nathaniel Robinson, Ruth-Ann Armstrong, Claire Bizon Monroc, Rasul Dent, Pranav Gupta, Raj Dabre, Andre Coy, and Kenton Murray. 2026. Findings of the Second Shared Task for Creole Language Machine Translation, at WMT 2026. In Proceedings of the Eleventh Conference on Machine Translation, pages 1138–1158, Budapest, Hungary. Association for Computational Linguistics.