Findings of the WMT 2024 Shared Task of the Open Language Data Initiative

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Jean Maillard, Laurie Burchell, Antonios Anastasopoulos, Christian Federmann, Philipp Koehn, Skyler Wang

Published: 01 Jan 2024, Last Modified: 07 Feb 2025WMT 2024EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: We present the results of the WMT 2024 shared task of the Open Language Data Initiative. Participants were invited to contribute to the FLORES+ and MT Seed multilingual datasets, two foundational open resources that facilitate the organic expansion of language technology’s reach. We accepted ten submissions covering 16 languages, which extended the range of languages included in the datasets and improved the quality of existing data.