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2025 EMNLP EMNLP 2025

Findings of the WMT 2025 Shared Task of the Open Language Data Initiative

Abstract

AbstractWe present the results of the WMT 2025 shared task of the Open Language Data Initiative. Participants were invited to contribute to the massively multilingual open datasets (FLORES+, MT Seed, WMT24++) or create new such resources. We accepted 8 submissions, including 7 extensions or revisions of the existing datasets and one submission with a new parallel training dataset, SMOL.

🌉 Interdisciplinary Bridge - Artificial Intelligence and Natural Language Processing

Authors

David Dale, Laurie Burchell, Jean Maillard, Idris Abdulmumin, Antonios Anastasopoulos, Isaac Caswell, Philipp Koehn

Topics

Natural Language Processing > Generation > Language Modeling Natural Language Processing > Applications > Machine Translation Natural Language Processing > Resources & Methods > Multilingual NLP Machine Learning > Learning Types > Transfer Learning

Keywords

machine translation parallel corpus corpus creation low-resource language multilingual dataset language data
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