Evidence map›Paper›PMID 33821463›Full record

ArticlePsychonomic bulletin & review2021

Sound symbolism shapes the English language: The maluma/takete effect in English nouns.

David M Sidhu, Chris Westbury, Geoff Hollis, Penny M Pexman

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Article in Psychonomic bulletin & review, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed.

  1. Article
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  6. Sounds of the future and past.British journal of psychology (London, England : 1953) · 2025
    Article
  7. Article
  8. Article
  9. Article
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  12. Neural Basis Of Sound-Symbolic Pseudoword-Shape Correspondences.bioRxiv : the preprint server for biology · 2023
    Article
  13. Multisensory and lexical information in speech perception.Frontiers in human neuroscience · 2023
    Article
  14. Article
  15. Article
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  17. ThePhilosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022
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  18. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

David M SidhuDepartment of Psychology, University of Calgary, Calgary, AB, Canada. dmsidhu@gmail.com.
Chris WestburyDepartment of Psychology, University of Alberta, Edmonton, AB, Canada.
Geoff HollisDepartment of Computing Science, University of Alberta, Calgary, AB, Canada.
Penny M PexmanDepartment of Psychology, University of Calgary, Calgary, AB, Canada.

Funding

Natural Sciences and Engineering Research Council of Canada RGPIN 217309-2013
6 · The paper itself

Abstract

Sound symbolism refers to associations between language sounds (i.e., phonemes) and perceptual and/or semantic features. One example is the maluma/takete effect: an association between certain phonemes (e.g., /m/, /u/) and roundness, and others (e.g., /k/, /ɪ/) and spikiness. While this association has been demonstrated in laboratory tasks with nonword stimuli, its presence in existing spoken language is unknown. Here we examined whether the maluma/takete effect is attested in English, across a broad sample of words. Best-worst judgments from 171 university students were used to quantify the shape of 1,757 objects, from spiky to round. We then examined whether the presence of certain phonemes in words predicted the shape of the objects to which they refer. We found evidence that phonemes associated with roundness are more common in words referring to round objects, and phonemes associated with spikiness are more common in words referring to spiky objects. This represents an instance of iconicity, and thus nonarbitrariness, in human language.

Indexed as

LanguageSymbolismHumansSemanticsSoundBouba/kiki effectIconicityMaluma/takete effectShape judgmentSound symbolism

Identifiers

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.