@inproceedings{mompelat-2025-wmt,
title = "{WMT} 2025 {C}reole{MT} Systems Description : Martinican Creole and {F}rench",
author = "Mompelat, Ludovic",
editor = "Haddow, Barry and
Kocmi, Tom and
Koehn, Philipp and
Monz, Christof",
booktitle = "Proceedings of the Tenth Conference on Machine Translation",
month = nov,
year = "2025",
address = "Suzhou, China",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2025.wmt-1.94/",
pages = "1198--1200",
ISBN = "979-8-89176-341-8",
abstract = "This paper describes our submissions to the constrained subtask of the WMT25 Creole Machine Translation shared task. We participated with a bidirectional Martinican Creole {--} French system. Our work explores training-time strategies tailored for low-resource MT, including LoRA fine-tuning, curriculum sampling, gradual unfreezing, and multitask learning. We report competitive results against the baseline on both translation directions."
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<abstract>This paper describes our submissions to the constrained subtask of the WMT25 Creole Machine Translation shared task. We participated with a bidirectional Martinican Creole – French system. Our work explores training-time strategies tailored for low-resource MT, including LoRA fine-tuning, curriculum sampling, gradual unfreezing, and multitask learning. We report competitive results against the baseline on both translation directions.</abstract>
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%0 Conference Proceedings
%T WMT 2025 CreoleMT Systems Description : Martinican Creole and French
%A Mompelat, Ludovic
%Y Haddow, Barry
%Y Kocmi, Tom
%Y Koehn, Philipp
%Y Monz, Christof
%S Proceedings of the Tenth Conference on Machine Translation
%D 2025
%8 November
%I Association for Computational Linguistics
%C Suzhou, China
%@ 979-8-89176-341-8
%F mompelat-2025-wmt
%X This paper describes our submissions to the constrained subtask of the WMT25 Creole Machine Translation shared task. We participated with a bidirectional Martinican Creole – French system. Our work explores training-time strategies tailored for low-resource MT, including LoRA fine-tuning, curriculum sampling, gradual unfreezing, and multitask learning. We report competitive results against the baseline on both translation directions.
%U https://aclanthology.org/2025.wmt-1.94/
%P 1198-1200
Markdown (Informal)
[WMT 2025 CreoleMT Systems Description : Martinican Creole and French](https://aclanthology.org/2025.wmt-1.94/) (Mompelat, WMT 2025)
ACL