@InProceedings{burchell-EtAl:2026:wmt,
  author    = {Burchell, Laurie  and  Dale, David  and  Maillard, Jean  and  Abdulmumin, Idris  and  Anastasopoulos, Antonios  and  Caswell, Isaac  and  Koehn, Philipp},
  title     = {Findings of the WMT 2026 Shared Task of the Open Language Data Initiative},
  booktitle      = {Proceedings of the Eleventh Conference on Machine Translation},
  month          = {October},
  year           = {2026},
  address        = {Budapest, Hungary},
  publisher      = {Association for Computational Linguistics},
  pages     = {1166--1175},
  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.},
  url       = {https://aclanthology.org/2026.wmt-1.57}
}