Yasamin Motamedi
The iconicity toolbox: Empirical approaches to measuring iconicity
Motamedi, Yasamin; Little, Hannah; Nielsen, Alan; Sulik, Justin
Authors
Hannah Little Hannah.Little@uwe.ac.uk
Senior Lecturer in Science Communication
Alan Nielsen
Justin Sulik
Abstract
© 2019 UK Cognitive Linguistics Association. Growing evidence from across the cognitive sciences indicates that iconicity plays an important role in a number of fundamental language processes, spanning learning, comprehension, and online use. One benefit of this recent upsurge in empirical work is the diversification of methods available for measuring iconicity. In this paper, we provide an overview of methods in the form of a 'toolbox'. We lay out empirical methods for measuring iconicity at a behavioural level, in the perception, production, and comprehension of iconic forms. We also discuss large-scale studies that look at iconicity on a system-wide level, based on objective measures of similarity between signals and meanings. We give a detailed overview of how different measures of iconicity can better address specific hypotheses, providing greater clarity when choosing testing methods.
Journal Article Type | Article |
---|---|
Acceptance Date | May 7, 2019 |
Online Publication Date | Jun 27, 2019 |
Publication Date | Jun 1, 2019 |
Deposit Date | May 21, 2019 |
Publicly Available Date | May 21, 2019 |
Journal | Language and Cognition |
Print ISSN | 1866-9808 |
Electronic ISSN | 1866-9859 |
Publisher | Cambridge University Press (CUP) |
Peer Reviewed | Peer Reviewed |
Volume | 11 |
Issue | 2 |
Pages | 188-207 |
DOI | https://doi.org/10.1017/langcog.2019.14 |
Public URL | https://uwe-repository.worktribe.com/output/847224 |
Contract Date | May 21, 2019 |
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