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Tracking Multiple Statistics: Simultaneous Learning of Object Names and Categories in English and Mandarin Speakers
Authors:Chi‐hsin Chen  Lisa Gershkoff‐Stowe  Chih‐Yi Wu  Hintat Cheung  Chen Yu
Institution:1. Department of Psychological and Brain SciencesIndiana University;2. Department of Speech and Hearing SciencesIndiana University;3. Graduate Institute of LinguisticsNational Taiwan University;4. Department of Linguistics and Modern Language StudiesThe Education University of Hong Kong
Abstract:Two experiments were conducted to examine adult learners' ability to extract multiple statistics in simultaneously presented visual and auditory input. Experiment 1 used a cross‐situational learning paradigm to test whether English speakers were able to use co‐occurrences to learn word‐to‐object mappings and concurrently form object categories based on the commonalities across training stimuli. Experiment 2 replicated the first experiment and further examined whether speakers of Mandarin, a language in which final syllables of object names are more predictive of category membership than English, were able to learn words and form object categories when trained with the same type of structures. The results indicate that both groups of learners successfully extracted multiple levels of co‐occurrence and used them to learn words and object categories simultaneously. However, marked individual differences in performance were also found, suggesting possible interference and competition in processing the two concurrent streams of regularities.
Keywords:Statistical learning  Word learning  Category learning  Simultaneous processing  Individual differences
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