@InProceedings{robinson-EtAl:2026:wmt,
  author    = {Robinson, Nathaniel R.  and  Armstrong, Ruth-Ann Hazel  and  Bizon Monroc, Claire  and  Dent, Rasul  and  Gupta, Pranav  and  Dabre, Raj  and  Coy, Andre  and  Murray, Kenton},
  title     = {Findings of the Second Shared Task for Creole Language Machine Translation, at WMT 2026},
  booktitle      = {Proceedings of the Eleventh Conference on Machine Translation},
  month          = {October},
  year           = {2026},
  address        = {Budapest, Hungary},
  publisher      = {Association for Computational Linguistics},
  pages     = {1145--1165},
  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.},
  url       = {https://aclanthology.org/2026.wmt-1.56}
}