Evidence map›Paper›PMID 39779657›Full record

ArticlePsychonomic bulletin & review2025

Cracking arbitrariness: A data-driven study of auditory iconicity in spoken English.

Andrea Gregor de Varda, Marco Marelli

Abstract read
In one paragraph

Article in Psychonomic bulletin & review, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Iconicity as an organizing principle of the lexicon.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  2. Article
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

2 authors.

Andrea Gregor de VardaDepartment of Psychology, University of Milano - Bicocca, Piazza dell'Ateneo Nuovo 1, Milan, MI, 20126, Italy. a.devarda@campus.unimib.it.ORCID http://orcid.org/0000-0002-0597-9989
Marco MarelliDepartment of Psychology, University of Milano - Bicocca, Piazza dell'Ateneo Nuovo 1, Milan, MI, 20126, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Auditory iconic words display a phonological profile that imitates their referents' sounds. Traditionally, those words are thought to constitute a minor portion of the auditory lexicon. In this article, we challenge this assumption by assessing the pervasiveness of onomatopoeia in the English auditory vocabulary through a novel data-driven procedure. We embed spoken words and natural sounds into a shared auditory space through (a) a short-time Fourier transform, (b) a convolutional neural network trained to classify sounds, and (c) a network trained on speech recognition. Then, we employ the obtained vector representations to measure their objective auditory resemblance. These similarity indexes show that imitation is not limited to some circumscribed semantic categories, but instead can be considered as a widespread mechanism underlying the structure of the English auditory vocabulary. We finally empirically validate our similarity indexes as measures of iconicity against human judgments.

Indexed as

PsycholinguisticsSpeech PerceptionVocabularyHumansLanguageNeural Networks, ComputerPhoneticsSemanticsComputational modelingDeep learningIconicityIconicity ratingsOnomatopoeiaPhonosymbolism

Identifiers

PMID39779657
PMCPMC12092494

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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.