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  1. Learning Object Names at Different Hierarchical Levels Using Cross‐Situational Statistics.Chen Chi-Hsin, Zhang Yayun & Yu Chen - 2018 - Cognitive Science:591-605.
    Objects in the world usually have names at different hierarchical levels. This research investigates adults' ability to use cross-situational statistics to simultaneously learn object labels at individual and category levels. The results revealed that adults were able to use co-occurrence information to learn hierarchical labels in contexts where the labels for individual objects and labels for categories were presented in completely separated blocks, in interleaved blocks, or mixed in the same trial. Temporal presentation schedules significantly affected the learning of individual (...)
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  • Tracking Multiple Statistics: Simultaneous Learning of Object Names and Categories in English and Mandarin Speakers.Chi-Hsin Chen, Lisa Gershkoff-Stowe, Chih-Yi Wu, Hintat Cheung & Chen Yu - 2017 - Cognitive Science 41 (6):1485-1509.
    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 (...)
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  • Memory Constraints on Infants' Cross-Situational Statistical Learning.Haley A. Vlach & Scott P. Johnson - 2013 - Cognition 127 (3):375-382.