GMU WMT 2026 CreoleMT System Description

Chutong Meng, Antonios Anastasopoulos


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.
Anthology ID:
2026.wmt-main.188
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:
2448–2454
Language:
URL:
https://aclanthology.org/2026.wmt-main.188/
DOI:
Bibkey:
Cite (ACL):
Chutong Meng and Antonios Anastasopoulos. 2026. GMU WMT 2026 CreoleMT System Description. In Proceedings of the Eleventh Conference on Machine Translation, pages 2448–2454, Budapest, Hungary. Association for Computational Linguistics.
Cite (Informal):
GMU WMT 2026 CreoleMT System Description (Meng & Anastasopoulos, WMT 2026)
Copy Citation:
PDF:
https://aclanthology.org/2026.wmt-main.188.pdf