Research data supporting the publication "A learning perspective on the emergence of abstractions: The curious case of phone(me)s"

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readme archive 161 disk0/00/00/09/42 2023-04-17 10:33:04 2023-04-17 11:29:27 2023-04-17 10:33:04 data_collection 941 show Milin Petar p.milin@bham.ac.uk 0000-0001-9708-7031 Divjak Dagmar d.divjak@bham.ac.uk 0000-0001-6825-8508 Tucker Benjamin V. benjamin.tucker@nau.edu 0000-0001-8965-7890 Research data supporting the publication "A learning perspective on the emergence of abstractions: The curious case of phone(me)s" 10col_artl Error-Correction Learning; Memory-Based Learning; phone; emergence; abstraction The data used for training the learning models stems from the force-aligned stimuli in the Massive Auditory Lexical Decision (MALD) database (Tucker et al., 2019). The data shared here contains the results of training the models, which are used for statistical analyses afterwards. The study is published in the peer-reviewed journal Language & Cognition, under the title "A learning perspective on the emergence of abstractions: The curious case of phone(me)s". 2023-04-17 published University of Birmingham https://doi.org/10.25500/edata.bham.00000942 Dataset research-data@contacts.bham.ac.uk School of Languages, Cultures, Art History and Music, Department of Modern Languages School of English, Drama and American & Canadian Studies, Department of English Language and Linguistics lt RL-2016-001 yes yes yes TRUE