Word Length and Lexical Competition: Longer Is the Same as Shorter

Autor/inn/en	Vitevitch, Michael S.; Stamer, Melissa K.; Sereno, Joan A.
Titel	Word Length and Lexical Competition: Longer Is the Same as Shorter
Quelle	In: Language and Speech, 51 (2008) 4, S.361-383 (23 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0023-8309
DOI	10.1177/0023830908099070
Schlagwörter	Word Recognition; Auditory Perception; Reaction Time; College Students; Phonology; Language Processing; Language Research; Oral Language; Experiments; Speech + Suchen Sie Ihr Suchwort? Worterkennung; Auditive Wahrnehmung; Akustische Wahrnehmung; Akustik; Reaktionsvermögen; Collegestudent; Fonologie; Sprachverarbeitung; Sprachforschung; Oral interpretation; Mündlicher Sprachgebrauch; Erprobung; Speaking; Sprechen
Abstract	Neighborhood density refers to the number of words that sound similar to a given word. Previous studies have found that neighborhood density influences the recognition of spoken words (Luce & Pisoni, 1998); however, this work has focused almost exclusively on monosyllabic words in English. To investigate the effects of neighborhood density on longer words, bisyllabic words varying in neighborhood density were presented auditorily to participants in a perceptual identification task and a lexical decision task. In the perceptual identification task, words with sparse neighborhoods were more accurately identified than words with dense neighborhoods. In the lexical decision task, words with sparse neighborhoods were responded to more quickly and more accurately than words with dense neighborhoods. These results are similar to those found in studies examining the influence of neighborhood density on the recognition of monosyllabic words in English. In order to better understand lexical processing, models of spoken word recognition must account for the processing of words of all types. (Contains 1 figure and 1 footnote.) (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10