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The influence of the clustering coef...

University of Kansas., Psychology.

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The influence of the clustering coefficient on spoken word recognition.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	The influence of the clustering coefficient on spoken word recognition./
作者:	Chan, Kit Ying.
面頁冊數:	53 p.
附註:	Adviser: Michael S. Vitevitch.
Contained By:	Masters Abstracts International46-03.
標題:	Language, Linguistics. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1447560
ISBN:	9780549335610

The influence of the clustering coefficient on spoken word recognition.
Chan, Kit Ying.

The influence of the clustering coefficient on spoken word recognition. - 53 p.

Adviser: Michael S. Vitevitch.

Thesis (M.A.)--University of Kansas, 2007.

The clustering coefficient refers to the proportion of phonological neighbors of a target word that are also neighbors of each other. The influence of the clustering coefficient on spoken word recognition was examined in the present study. In a same-different task, no significant effects of clustering coefficient were observed. In a perceptual identification task, words with a low clustering coefficient (i.e., few neighbors are interconnected) were more accurately identified than words with a high clustering coefficient (i.e., many neighbors are interconnected). 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 nature of relationships among the neighbors of the target word influences the lexical processing of the target word in the context of spoken word recognition.

ISBN: 9780549335610Subjects--Topical Terms:

1018079
Language, Linguistics.

The influence of the clustering coefficient on spoken word recognition.
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520 $a The clustering coefficient refers to the proportion of phonological neighbors of a target word that are also neighbors of each other. The influence of the clustering coefficient on spoken word recognition was examined in the present study. In a same-different task, no significant effects of clustering coefficient were observed. In a perceptual identification task, words with a low clustering coefficient (i.e., few neighbors are interconnected) were more accurately identified than words with a high clustering coefficient (i.e., many neighbors are interconnected). 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 nature of relationships among the neighbors of the target word influences the lexical processing of the target word in the context of spoken word recognition.
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