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ERIC Number: EJ865285
Record Type: Journal
Publication Date: 2009-Dec
Pages: 16
Abstractor: As Provided
Reference Count: 69
ISSN: ISSN-0096-1523
The Influence of the Phonological Neighborhood Clustering Coefficient on Spoken Word Recognition
Chan, Kit Ying; Vitevitch, Michael S.
Journal of Experimental Psychology: Human Perception and Performance, v35 n6 p1934-1949 Dec 2009
Clustering coefficient--a measure derived from the new science of networks--refers to the proportion of phonological neighbors of a target word that are also neighbors of each other. Consider the words "bat", "hat", and "can", all of which are neighbors of the word "cat"; the words "bat" and "hat" are also neighbors of each other. In a perceptual identification task, words with a low clustering coefficient (i.e., few neighbors are neighbors of each other) were more accurately identified than words with a high clustering coefficient (i.e., many neighbors are neighbors of each other). In a lexical decision task, words with a low clustering coefficient were responded to more quickly than words with a high clustering coefficient. These findings suggest that the structure of the lexicon (i.e., the similarity relationships among neighbors of the target word measured by clustering coefficient) influences lexical access in spoken word recognition. Simulations of the TRACE and Shortlist models of spoken word recognition failed to account for the present findings. A framework for a new model of spoken word recognition is proposed. (Contains 3 footnotes and 2 figures.)
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Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: Kansas