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Iconicity ratings really do measure iconicity, and they open a new window onto the nature of language

  • Bodo Winter EMAIL logo and Marcus Perlman
Published/Copyright: June 18, 2021

Abstract

This paper reviews recent research using participant ratings to measure the iconicity (form-meaning resemblance) of words and signs. This method, by enabling wide coverage of lexical items and cross-linguistic comparison, has revealed systematic patterns in how iconicity is distributed across the vocabularies of different languages. These findings are consistent with established linguistic and psychological theory on iconicity, and they connect iconicity to factors like learning and acquisition, semantics, pragmatic aspects of language like playfulness, and to the semantic neighborhood density of words and signs. After taking stock of this research, we look critically at the construct validity of iconicity ratings, considering an alternative account of iconicity ratings recently put forward by Thompson, Arthur Lewis, Kimi Akita & Youngah Do. 2020a. Iconicity ratings across the Japanese lexicon: A comparative study with English. Linguistics Vanguard 6. 20190088. They propose that, for most vocabulary, participants might rate the iconicity of different words based on their meaning alone – specifically the degree to which it relates to the senses – independently of actual form-meaning resemblance. We argue that their hypothesis cannot account for many of the various, theory-driven results from this line of research, which strongly support the conclusion that the ratings really do measure iconicity.


Corresponding author: Bodo Winter, Department of English Language & Linguistics, University of Birmingham, Birmingham, UK, E-mail:

Funding source: UKRI Future Leaders Fellowship

Award Identifier / Grant number: MR/T040505/1

Acknowledgment

Dr. Bodo Winter was supported by the UKRI Future Leaders Fellowship MR/T040505/1.

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Received: 2020-12-07
Accepted: 2021-03-22
Published Online: 2021-06-18

© 2021 Walter de Gruyter GmbH, Berlin/Boston

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