2025
EMNLP
EMNLP 2025
Krey-All WMT 2025 CreoleMT System Description: Language Agnostic Strategies for Low-Resource Translation
Abstract
AbstractThe paper is a submission to the WMT 2025 Creole MT Task, aimed at improving translation between Seychellois Creole and English by using data from other closely related Creole languages. The approach treats all Creoles as variations of the same language, allowing the model to share knowledge across them. This strategy led to better translation quality than using separate language settings. The work highlights that related languages can effectively support each other in low-resource settings, while also noting challenges such as data imbalance, differences in language domains, and the absence of human evaluation.
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Interdisciplinary Bridge
— Artificial Intelligence and Machine Learning
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Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio