The MultiGEC-2025 Shared Task on Multilingual Grammatical Error Correction at NLP4CALL

dc.contributor.authorMasciolini, Arianna
dc.contributor.authorCaines, Andrew
dc.contributor.authorDe Clercq, Orphée
dc.contributor.authorKruijsbergen, Joni
dc.contributor.authorKurfalı, Murathan
dc.contributor.authorMuñoz Sánchez, Ricardo
dc.contributor.authorVolodina, Elena
dc.contributor.authorÖstling, Robert
dc.contributor.editorMuñoz Sánchez, Ricardo
dc.contributor.editorAlfter, David
dc.contributor.editorVolodina, Elena
dc.contributor.editorKallas, Jelena
dc.coverage.spatialTallinn, Estonia
dc.date.accessioned2025-02-17T10:22:28Z
dc.date.available2025-02-17T10:22:28Z
dc.date.issued2025-03
dc.description.abstractThis paper reports on MultiGEC-2025, the first shared task in text-level Multilingual Grammatical Error Correction. The shared task features twelve European languages (Czech, English, Estonian, German, Greek, Icelandic, Italian, Latvian, Russian, Slovene, Swedish and Ukrainian) and is organized into two tracks, one for systems producing minimally corrected texts, thus preserving as much as possible of the original language use, and one dedicated to systems that prioritize fluency and idiomaticity. We introduce the task setup, data, evaluation metrics and baseline; present results obtained by the submitted systems and discuss key takeaways and ideas for future work.
dc.identifier.urihttps://hdl.handle.net/10062/107166
dc.language.isoen
dc.publisherUniversity of Tartu Library
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.titleThe MultiGEC-2025 Shared Task on Multilingual Grammatical Error Correction at NLP4CALL
dc.typeArticle

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