Non-arbitrary mappings between size and sound of English words: Form typicality effects during lexical access and memory

Author:

de Zubicaray Greig I1ORCID,Arciuli Joanne2,Guenther Frank H34,McMahon Katie L56ORCID,Kearney Elaine1

Affiliation:

1. School of Psychology and Counselling, Faculty of Health, Queensland University of Technology, Brisbane, QLD, Australia

2. College of Nursing and Health Sciences, Flinders University, Adelaide, SA, Australia

3. Department of Speech, Language & Hearing Sciences, Boston University, Boston, MA, USA

4. Department of Biomedical Engineering, Boston University, Boston, MA, USA

5. School of Clinical Sciences, Centre for Biomedical Technologies, Queensland University of Technology, Brisbane, QLD, Australia

6. Herston Imaging Research Facility, Royal Brisbane and Women’s Hospital, Herston, QLD, Australia

Abstract

A century of research has provided evidence of limited size sound symbolism in English, that is, certain vowels are non-arbitrarily associated with words denoting small versus large referents (e.g., /i/ as in teensy and /ɑ/ as in tall). In the present study, we investigated more extensive statistical regularities between surface form properties of English words and ratings of their semantic size, that is, form typicality, and its impact on language and memory processing. Our findings provide the first evidence of significant word form typicality for semantic size. In five empirical studies using behavioural megastudy data sets of performance on written and auditory lexical decision, reading aloud, semantic decision, and recognition memory tasks, we show that form typicality for size is a stronger and more consistent predictor of lexical access during word comprehension and production than semantic size, in addition to playing a significant role in verbal memory. The empirical results demonstrate that statistical information about non-arbitrary form-size mappings is accessed automatically during language and verbal memory processing, unlike semantic size that is largely dependent on task contexts that explicitly require participants to access size knowledge. We discuss how a priori knowledge about non-arbitrary form-meaning associations in the lexicon might be incorporated in models of language processing that implement Bayesian statistical inference.

Funder

Australian Research Council

Publisher

SAGE Publications

Subject

Physiology (medical),General Psychology,Experimental and Cognitive Psychology,General Medicine,Neuropsychology and Physiological Psychology,Physiology

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