Dufour Sophie, Frauenfelder Ulrich H
Laboratoire Parole et Langage, CNRS & Aix-Marseille University, Aix-en-Provence, France.
Q J Exp Psychol (Hove). 2010 Feb;63(2):226-38. doi: 10.1080/17470210903308336.
According to activation-based models of spoken-word recognition, words with many and high-frequency phonological neighbours are processed more slowly than words with few and low-frequency phonological neighbours. Although considerable empirical support for inhibitory neighbourhood density effects has accumulated, especially in English, little or nothing is known about the effects of neighbourhood frequency and its interaction with neighbourhood density. In this study we examine both effects first separately and then simultaneously in French lexical decision experiments. As in English, we found that words in dense neighbourhoods are recognized more slowly than words in sparse neighbourhoods. Moreover, we showed that words with higher frequency neighbours are processed more slowly than words with no higher frequency neighbours, but only for words occurring in sparse neighbourhoods. Implications of these results for spoken-word recognition models are discussed.
根据基于激活的口语单词识别模型，具有许多高频语音邻接词的单词比具有较少低频语音邻接词的单词处理起来更慢。尽管已经积累了大量关于抑制性邻接密度效应的实证支持，尤其是在英语中，但对于邻接频率的影响及其与邻接密度的相互作用却知之甚少。在本研究中，我们首先在法语词汇判断实验中分别考察这两种效应，然后同时进行考察。与英语一样，我们发现密集邻接词中的单词比稀疏邻接词中的单词识别得更慢。此外，我们还表明，具有高频邻接词的单词比没有高频邻接词的单词处理起来更慢，但这只适用于出现在稀疏邻接词中的单词。我们讨论了这些结果对口语单词识别模型的影响。
