Bonatti Luca L, Peña Marcela, Nespor Marina, Mehler Jacques
Sector of Cognitive Neuroscience, International School for Advanced Studies, Trieste, Italy.
J Exp Psychol Gen. 2006 May;135(2):314-21; discussion 322-6. doi: 10.1037/0096-3445.135.2.314.
M. Peña, L. L. Bonatti, M. Nespor, and J. Mehler argued that humans compute nonadjacent statistical relations among syllables in a continuous artificial speech stream to extract words, but they use other computations to determine the structural properties of words. Instead, when participants are familiarized with a segmented stream, structural generalizations about words are quickly established. P. Perruchet, M. D. Tyler, N. Galland, and R. Peereman criticized M. Peña et al.'s work and dismissed their results. In this article, the authors show that P. Perruchet et al.'s criticisms are groundless.
M. 佩尼亚、L. L. 博纳蒂、M. 内斯波尔和J. 梅勒认为，人类会计算连续人工语音流中音节之间的非相邻统计关系以提取单词，但他们会使用其他计算方法来确定单词的结构属性。相反，当参与者熟悉分段语音流时，关于单词的结构概括会很快建立起来。P. 佩鲁谢、M. D. 泰勒、N. 加兰德和R. 皮勒曼批评了M. 佩尼亚等人的工作并否定了他们的结果。在本文中，作者表明P. 佩鲁谢等人的批评是毫无根据的。
