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Speech Perception, Word Recognition and the Structure of the Lexicon.
Speech Communication ( IF 3.2 ) Pub Date : 1985-08-01 , DOI: 10.1016/0167-6393(85)90037-8
David B Pisoni 1 , Howard C Nusbaum , Paul A Luce , Louisa M Slowiaczek
Affiliation  

This paper reports the results of three projects concerned with auditory word recognition and the structure of the lexicon. The first project was designed to experimentally test several specific predictions derived from MACS, a simulation model of the Cohort Theory of word recognition. Using a priming paradigm, evidence was obtained for acoustic-phonetic activation in word recognition in three experiments. The second project describes the results of analyses of the structure and distribution of words in the lexicon using a large lexical database. Statistics about similarity spaces for high and low frequency words were applied to previously published data on the intelligibility of words presented in noise. Differences in identification were shown to be related to structural factors about the specific words and the distribution of similar words in their neighborhoods. Finally, the third project describes efforts at developing a new theory of word recognition known as Phonetic Refinement Theory. The theory is based on findings from human listeners and was designed to incorporate some of the detailed acoustic-phonetic and phonotactic knowledge that human listeners have about the internal structure of words and the organization of words in the lexicon, and how, they use this knowledge in word recognition. Taken together, the results of these projects demonstrate a number of new and important findings about the relation between speech perception and auditory word recognition, two areas of research that have traditionally been approached from quite different perspectives in the past.

中文翻译:

语音感知、单词识别和词典结构。

本文报告了与听觉词识别和词典结构有关的三个项目的结果。第一个项目旨在通过实验测试源自 MACS 的几个特定预测,MACS 是单词识别队列理论的模拟模型。使用启动范式,在三个实验中获得了单词识别中声学-语音激活的证据。第二个项目描述了使用大型词汇数据库对词典中单词的结构和分布进行分析的结果。有关高频和低频词的相似性空间的统计数据已应用于先前发布的有关噪声中出现的词的可懂度的数据。识别的差异被证明与特定词的结构因素和相似词在其邻域中的分布有关。最后,第三个项目描述了开发一种新的单词识别理论的努力,称为语音细化理论。该理论基于人类听众的发现,旨在结合人类听众对词汇内部结构和词汇组织的一些详细的声学语音和音标知识,以及他们如何使用这些知识在文字识别方面。综上所述,这些项目的结果展示了一些关于语音感知和听觉单词识别之间关系的新的重要发现,
更新日期:2019-11-01
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