Masciolini, AriannaCaines, AndrewDe Clercq, OrphéeKruijsbergen, JoniKurfalı, MurathanMuñoz Sánchez, RicardoVolodina, ElenaÖstling, RobertAllkivi, KaisArhar Holdt, ŠpelaAuzin̦a, IlzeDarģis, RobertsDrakonaki, ElenaFrey, Jennifer-CarmenGlišic, IsidoraKikilintza, PinelopiNicolas, LionelRomanyshyn, MarianaRosen, AlexandrRozovskaya, AllaSuluste, KristjanSyvokon, OleksiyTantos, AlexandrosTouriki, Despoina-OuraniaTsiotskas, KonstantinosTsourilla, EleniVarsamopoulos, VassilisWisniewski, KatrinŽagar, AlešZesch, Torsten2025-01-312025-01-312025-01-311401-5919https://hdl.handle.net/2077/84800This overview is complementary to the comprehensive dataset description article for MultiGEC – a dataset for Multilingual Grammatical Error Correction including data for twelve European languages: Czech, English, Estonian, German, Greek, Icelandic, Italian, Latvian, Russian, Slovene, Swedish and Ukrainian. It is well-known that in the field of Natural Language Processing (NLP) most publications tend to focus on the English language. While this is due to historical reasons (ease of publication, greater outreach, increased number of citations, etc.), it does leave other languages at a disadvantage across multiple tasks. The MultiGEC dataset was created as an attempt to counteract this effect. This report provides a historical overview of the evolution of GEC for each of the twelve languages in this dataset and provides a context for the work on the dataset and the related MultiGEC-2025 shared task.9 pagesengGrammatical Error CorrectionLanguage TechnologyNatural Language Processingshared taskMultiGEC-2025Computational SLAText