Vitevitch Michael S, Stamer Melissa K, Sereno Joan A
Spoken Language Laboratory, Department of Psychology, 1415 Jayhawk Blvd, University of Kansas, Lawrence, KS 66045, USA.
Lang Speech. 2008;51(Pt 4):361-83. doi: 10.1177/0023830908099070.
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.
邻域密度指的是与给定单词发音相似的单词数量。先前的研究发现，邻域密度会影响口语单词的识别（卢斯和皮索尼，1998年）；然而，这项工作几乎完全集中在英语单音节单词上。为了研究邻域密度对更长单词的影响，在一项知觉识别任务和一项词汇判断任务中，向参与者听觉呈现了邻域密度不同的双音节单词。在知觉识别任务中，邻域稀疏的单词比邻域密集的单词被更准确地识别。在词汇判断任务中，邻域稀疏的单词比邻域密集的单词得到更快、更准确的反应。这些结果与研究邻域密度对英语单音节单词识别影响的研究结果相似。为了更好地理解词汇加工，口语单词识别模型必须考虑所有类型单词的加工。
