Luce P A, Pisoni D B
Department of Psychology and Center for Cognitive Science, University at Buffalo, New York, USA.
Ear Hear. 1998 Feb;19(1):1-36. doi: 10.1097/00003446-199802000-00001.
A fundamental problem in the study of human spoken word recognition concerns the structural relations among the sound patterns of words in memory and the effects these relations have on spoken word recognition. In the present investigation, computational and experimental methods were employed to address a number of fundamental issues related to the representation and structural organization of spoken words in the mental lexicon and to lay the groundwork for a model of spoken word recognition.
Using a computerized lexicon consisting of transcriptions of 20,000 words, similarity neighborhoods for each of the transcriptions were computed. Among the variables of interest in the computation of the similarity neighborhoods were: 1) the number of words occurring in a neighborhood, 2) the degree of phonetic similarity among the words, and 3) the frequencies of occurrence of the words in the language. The effects of these variables on auditory word recognition were examined in a series of behavioral experiments employing three experimental paradigms: perceptual identification of words in noise, auditory lexical decision, and auditory word naming.
The results of each of these experiments demonstrated that the number and nature of words in a similarity neighborhood affect the speed and accuracy of word recognition. A neighborhood probability rule was developed that adequately predicted identification performance. This rule, based on Luce's (1959) choice rule, combines stimulus word intelligibility, neighborhood confusability, and frequency into a single expression. Based on this rule, a model of auditory word recognition, the neighborhood activation model, was proposed. This model describes the effects of similarity neighborhood structure on the process of discriminating among the acoustic-phonetic representations of words in memory. The results of these experiments have important implications for current conceptions of auditory word recognition in normal and hearing impaired populations of children and adults.
人类口语单词识别研究中的一个基本问题涉及记忆中单词声音模式之间的结构关系以及这些关系对口语单词识别的影响。在本研究中,采用计算和实验方法来解决一些与心理词典中口语单词的表征和结构组织相关的基本问题,并为口语单词识别模型奠定基础。
使用一个由20000个单词转录组成的计算机化词典,计算每个转录的相似性邻域。在计算相似性邻域时感兴趣的变量包括:1)邻域中出现的单词数量,2)单词之间的语音相似程度,以及3)单词在语言中的出现频率。在一系列行为实验中,采用三种实验范式来检验这些变量对听觉单词识别的影响:噪声中单词的感知识别、听觉词汇判断和听觉单词命名。
这些实验中的每一个结果都表明,相似性邻域中单词的数量和性质会影响单词识别的速度和准确性。制定了一个邻域概率规则,该规则能够充分预测识别性能。这个基于卢斯(1959年)选择规则的规则,将刺激词的可懂度、邻域混淆度和频率结合成一个单一表达式。基于这个规则,提出了一个听觉单词识别模型,即邻域激活模型。该模型描述了相似性邻域结构对记忆中单词的声学语音表征进行区分过程的影响。这些实验结果对儿童和成人正常及听力受损人群中当前的听觉单词识别概念具有重要意义。