@InProceedings{meng-anastasopoulos:2026:wmt,
  author    = {Meng, Chutong  and  Anastasopoulos, Antonios},
  title     = {GMU WMT 2026 CreoleMT System Description},
  booktitle      = {Proceedings of the Eleventh Conference on Machine Translation},
  month          = {October},
  year           = {2026},
  address        = {Budapest, Hungary},
  publisher      = {Association for Computational Linguistics},
  pages     = {2447--2453},
  abstract  = {We present GMU's submissions to the WMT26 Creole Language Translation Shared Task, exploring LLM fine-tuning and few-shot prompting for English-Creole language translation. Our experiments show that LLM-based systems outperform NLLB-based systems, while few-shot prompting is particularly effective for the lowest-resource language pairs. We also demonstrate that extracting incidental parallel sentences from archival grammar books improves translation performance.},
  url       = {https://aclanthology.org/2026.wmt-1.187}
}