20.500.12556/RUL-172814 Towards better language representation in natural language processing a multilingual dataset for text-level grammatical error correction This paper introduces MultiGEC, a dataset for multilingual Grammatical Error Correction (GEC) in twelve European languages: Czech, English, Estonian, German, Greek, Icelandic, Italian, Latvian, Russian, Slovene, Swedish and Ukrainian. MultiGEC distinguishes itself from previous GEC datasets in that it covers several underrepresented languages, which we argue should be included in resources used to train models for Natural Language Processing tasks which, as GEC itself, have implications for Learner Corpus Research and Second Language Acquisition. Aside from multilingualism, the novelty of the MultiGEC dataset is that it consists of full texts — typically learner essays — rather than individual sentences, making it possible to train systems that take a broader context into account. The dataset was built for MultiGEC-2025, the first shared task in multilingual text-level GEC, but it remains accessible after its competitive phase, serving as a resource to train new error correction systems and perform cross-lingual GEC studies. learner corpora grammatical error correction multilingual corpora Matthew effect MultiGEC shared task učni korpusi popravljanje slovničnih napak večjezični korpusi Matejev učinek skupna naloga MultiGEC true false false Angleški jezik Slovenski jezik Članek v reviji 2025-09-11 10:25:34 2025-09-11 10:25:36 2025-09-12 04:28:34 0000-00-00 00:00:00 2025 0 0 Str. 309-335 iss. 2 Vol. 11 2025 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 81'322.2:81'36 2215-1478 10.1075/ijlcr.24033.mas 234594051 RAZ_Masciolini_Arianna_2025.pdf RAZ_Masciolini_Arianna_2025.pdf 1 778590BDBE1CB3567B806D001AD72624 76262b764d2c80edbe4e65306f003ccef9e118a87fc37d718caf1f76b461b902 fb986bd1-8ee9-11f0-9328-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=216887 https://www.jbe-platform.com/content/journals/10.1075/ijlcr.24033.mas 1 bb80c0e7-8ee8-11f0-9328-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=216886 Fakulteta za računalništvo in informatiko 0 0 0