Mackiewicz, Justyna and Milin, Petar and Divjak, Dagmar (2025) Research data supporting the publication 'Error-Correction Learning of Second Language Verbal Morphology: Associating Imperfect Contingencies in Naturalistic Frequency Distributions'.
Dataset Details
| Data creator(s): |
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| Research Data Type: | Dataset | ||||||||||||
| DOI: | https://doi.org/10.25500/edata.bham.00001267 | ||||||||||||
| Publisher: | University of Birmingham | ||||||||||||
| Funder: | Leverhulme Trust | ||||||||||||
| Keywords: | Error-correction learning, Computational modelling, Polish Aspect, Imperfective, Perfectve | ||||||||||||
| Managing organisational unit: | Colleges (2008 onwards) > College of Arts & Law | ||||||||||||
| UoB School, Department or Institute: | School of Languages, Cultures, Art History and Music, Department of Modern Languages, Department of Modern Languages | ||||||||||||
| Date: | 4 April 2025 |
orcid.org/0009-0002-7638-4840
Available Files
Data
Readme.md |
SDT_Estimates.zip |
Training_videos.zip |
Training_images.zip |
Qualtrics_projects.zip |
Data.zip |
Instr_videos.zip |
Post-test_videos.zip |
Stimuli.zip |
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