Research data supporting the publication 'Error-Correction Learning of Second Language Verbal Morphology: Associating Imperfect Contingencies in Naturalistic Frequency Distributions'

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data archive 638 disk0/00/00/12/67 2025-04-04 13:40:30 2025-11-26 13:37:54 2025-04-04 13:40:30 data_collection show Mackiewicz Justyna j.mackiewicz@bham.ac.uk 0009-0002-7638-4840 Milin Petar p.milin@bham.ac.uk 0000-0001-9708-7031 Divjak Dagmar d.divjak@bham.ac.uk 0000-0001-6825-8508 Research data supporting the publication 'Error-Correction Learning of Second Language Verbal Morphology: Associating Imperfect Contingencies in Naturalistic Frequency Distributions' 10col_artl Error-correction learning, Computational modelling, Polish Aspect, Imperfective, Perfectve The data were collected to test predictions derived from a computational modelling study of Polish aspect acquisition. This online language intervention study involved two training conditions: Grammatical and Lexical. Eighty native English speakers participated, with half assigned to each group. The intervention consisted of three training sessions followed by a posttest. Stimuli were based on frequency patterns observed in natural language. In addition to the aspect training, participants completed a series of memory and learning tasks. 2025-04-04 published University of Birmingham https://doi.org/10.25500/edata.bham.00001267 Dataset research-data@contacts.bham.ac.uk School of Languages, Cultures, Art History and Music, Department of Modern Languages Department of Modern Languages lt RL-2016-001 yes yes yes TRUE Data Creator UNSPECIFIED UNSPECIFIED ooominds@ooominds.org Error Correction Learning of Second Language Verbal Morphology: Associating Imperfect Contingencies in Naturalistic Frequency Distributions pub https://doi.org/10.1111/lang.70006 IsSupplementTo