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The sound symbolism bootstrapping hypothesis for language acquisition and language evolution

Imai, Mutsumi, Kita, Sotaro·2014·Philosophical Transactions of the Royal Society B: Biological Sciences
DOI 10.1098/rstb.2013.0298
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Abstract

Sound symbolism is a non-arbitrary relationship between speech sounds and meaning. We review evidence that, contrary to the traditional view in linguistics, sound symbolism is an important design feature of language, which affects online processing of language, and most importantly, language acquisition. We propose the sound symbolism bootstrapping hypothesis , claiming that (i) pre-verbal infants are sensitive to sound symbolism, due to a biologically endowed ability to map and integrate multi-modal input, (ii) sound symbolism helps infants gain referential insight for speech sounds, (iii) sound symbolism helps infants and toddlers associate speech sounds with their referents to establish a lexical representation and (iv) sound symbolism helps toddlers learn words by allowing them to focus on referents embedded in a complex scene, alleviating Quine's problem. We further explore the possibility that sound symbolism is deeply related to language evolution, drawing the parallel between historical development of language across generations and ontogenetic development within individuals. Finally, we suggest that sound symbolism bootstrapping is a part of a more general phenomenon of bootstrapping by means of iconic representations, drawing on similarities and close behavioural links between sound symbolism and speech-accompanying iconic gesture.

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Metadata

Authors
Imai, M., & Kita, S.
Affiliations
  • Faculty of Environment and Information Studies, Keio University, Fujisawa, Kanagawa, Japan
  • Department of Psychology, University of Warwick, Birmingham, CV4 7AL, UK
Venue
Philosophical Transactions of the Royal Society B: Biological Sciences
Publisher
The Royal Society
Published
2014-09-19
Volume
369
Issue
1651
Pages
20130298
ISSN
  • 0962-8436
  • 1471-2970
DOI
10.1098/rstb.2013.0298
Cited by
335
References
3
Language
en
Licence
royalsociety.org/journals/ethics-policies/data-sharing-mining/ (tdm)

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