Classifier categories reflect but do not affect conceptual organization. Article Swipe
Laura J. Speed
,
Jidong Chen
,
Falk Huettig
,
Asifa Majid
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1037/xlm0000967
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1037/xlm0000967
Do we structure object-related conceptual information according to real-world sensorimotor experience, or can it also be shaped by linguistic information? This study investigates whether a feature of language coded in grammar-numeral classifiers-affects the conceptual representation of objects. We compared speakers of Mandarin (a classifier language) with speakers of Dutch (a language without classifiers) on how they judged object similarity in 4 studies. In the first 3 studies, participants had to rate how similar a target object was to 4 comparison objects, 1 of which shared a classifier with the target. Objects were presented as either words or pictures. Overall, the target object was always rated as most similar to the object with the shared classifier, but this was the case regardless of the language of the participant. In a final study using a successive pile-sorting task, we also found that the underlying object concepts were similar for speakers of Mandarin and Dutch. Speakers of a nonclassifier language are therefore sensitive to the same conceptual similarities that underlie classifier systems in a classifier language. Classifier systems may therefore reflect conceptual structure, rather than shape it. (PsycInfo Database Record (c) 2021 APA, all rights reserved).
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- article
- Language
- en
- Landing Page
- https://doi.org/10.1037/xlm0000967
- OA Status
- green
- Cited By
- 5
- References
- 42
- Related Works
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- OpenAlex ID
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All OpenAlex metadata
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https://openalex.org/W3066293074Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1037/xlm0000967Digital Object Identifier
- Title
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Classifier categories reflect but do not affect conceptual organization.Work title
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articleOpenAlex work type
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enPrimary language
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2020Year of publication
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2020-11-05Full publication date if available
- Authors
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Laura J. Speed, Jidong Chen, Falk Huettig, Asifa MajidList of authors in order
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https://doi.org/10.1037/xlm0000967Publisher landing page
- Open access
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YesWhether a free full text is available
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greenOpen access status per OpenAlex
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https://hdl.handle.net/21.11116/0000-0006-DE0B-5Direct OA link when available
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Affect (linguistics), Classifier (UML), Psychology, Computer science, Artificial intelligence, CommunicationTop concepts (fields/topics) attached by OpenAlex
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5Total citation count in OpenAlex
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2023: 1, 2022: 1, 2021: 2, 2020: 1Per-year citation counts (last 5 years)
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42Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| referenced_works | https://openalex.org/W2793446537, https://openalex.org/W2940336339, https://openalex.org/W2139682140, https://openalex.org/W2489036590, https://openalex.org/W2064018034, https://openalex.org/W1988282987, https://openalex.org/W2069924950, https://openalex.org/W4251675104, https://openalex.org/W2114025231, https://openalex.org/W2969467651, https://openalex.org/W4238449297, https://openalex.org/W2029591787, https://openalex.org/W1989586510, https://openalex.org/W4230002743, https://openalex.org/W19528968, https://openalex.org/W2009140530, https://openalex.org/W2264155890, https://openalex.org/W2157294509, https://openalex.org/W2943373237, https://openalex.org/W2072437710, https://openalex.org/W2102489864, https://openalex.org/W2480468654, https://openalex.org/W1495375933, https://openalex.org/W1554642491, https://openalex.org/W2028578216, https://openalex.org/W1995071396, https://openalex.org/W2145109416, https://openalex.org/W2070251110, https://openalex.org/W2119182391, https://openalex.org/W32264831, https://openalex.org/W2010520586, https://openalex.org/W4247509926, https://openalex.org/W2332779912, https://openalex.org/W1994441973, https://openalex.org/W1967897658, https://openalex.org/W1981293081, https://openalex.org/W2124271630, https://openalex.org/W2318137743, https://openalex.org/W1969793406, https://openalex.org/W266716723, https://openalex.org/W1602567378, https://openalex.org/W2098366013 |
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