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  Learning object names at different hierarchical levels using cross-situational statistics

Chen, C.-h., Zhang, Y., & Yu, C. (2018). Learning object names at different hierarchical levels using cross-situational statistics. Cognitive Science, 42(S2), 591-605. doi:10.1111/cogs.12516.

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Cognitive Science - 2017 - Chen - Learning Object Names at Different Hierarchical Levels Using Cross‐Situational Statistics.pdf (Publisher version), 571KB
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Cognitive Science - 2017 - Chen - Learning Object Names at Different Hierarchical Levels Using Cross‐Situational Statistics.pdf
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 Creators:
Chen, Chi-hsin, Author
Zhang, Yayun1, Author           
Yu, Chen, Author
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1University of Texas at Austin, Austin, TX, USA, ou_persistent22              

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 Abstract: Objects in the world usually have names at different hierarchical levels (e.g., beagle, dog, animal). 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 object labels, but not the learning of category labels. Learners' subsequent generalization of category labels indicated sensitivity to the structure of statistical input.

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Language(s): eng - English
 Dates: 2018
 Publication Status: Issued
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 Rev. Type: Peer
 Identifiers: DOI: 10.1111/cogs.12516
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Title: Cognitive Science
Source Genre: Journal
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Pages: - Volume / Issue: 42 (S2) Sequence Number: - Start / End Page: 591 - 605 Identifier: ISSN: 0364-0213
CoNE: https://pure.mpg.de/cone/journals/resource/954925523741