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Adults use distributional statistics for word learning in a conservative way
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Aussems, Suzanne and Vogt, Paul (2020) Adults use distributional statistics for word learning in a conservative way. IEEE Transactions on Cognitive and Developmental Systems, 12 (2). pp. 232-242. doi:10.1109/TCDS.2018.2870161 ISSN 2379-8920.
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Official URL: http://dx.doi.org/10.1109/TCDS.2018.2870161
Abstract
This study examined how much adults rely on cross-situational information in word learning by comparing their gaze behavior in a word learning task with models of four learning strategies. We manipulated the input type of situations (consecutive vs. interleaved) and the co-occurrence frequencies between words and objects so that adult learners could infer correct word-object mappings based on cross-situational information. There are two key findings. First, an exposure-by-exposure analysis of gaze behavior during the word learning procedure revealed that most participants collected sufficient cross-situational information before they developed a preference for one particular word-object mapping, with consecutive as well as interleaved situations. Second, a classification approach in which individual gaze behavior was attributed to different word learning strategies showed that participants relied mostly on a Conservative cross-situational learning (XSL) strategy, compared to Associative XSL, Propose-but-Verify, and Random strategies. Adults relied on Conservative XSL when presented with consecutive and interleaved situations, but they shifted towards Associative XSL when presented with interleaved situations.
| Item Type: | Journal Article | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| Subjects: | B Philosophy. Psychology. Religion > BF Psychology | ||||||||
| Divisions: | Faculty of Science, Engineering and Medicine > Science > Psychology | ||||||||
| Library of Congress Subject Headings (LCSH): | Cognitive science | ||||||||
| Journal or Publication Title: | IEEE Transactions on Cognitive and Developmental Systems | ||||||||
| Publisher: | IEEE | ||||||||
| ISSN: | 2379-8920 | ||||||||
| Official Date: | June 2020 | ||||||||
| Dates: |
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| Volume: | 12 | ||||||||
| Number: | 2 | ||||||||
| Page Range: | pp. 232-242 | ||||||||
| DOI: | 10.1109/TCDS.2018.2870161 | ||||||||
| Status: | Peer Reviewed | ||||||||
| Publication Status: | Published | ||||||||
| Reuse Statement (publisher, data, author rights): | © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | ||||||||
| Access rights to Published version: | Restricted or Subscription Access | ||||||||
| Date of first compliant deposit: | 27 February 2019 | ||||||||
| Date of first compliant Open Access: | 27 February 2019 |
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