模糊逻辑模型与交股模型的解析与重组  

Analyzing and Recomposing the Fuzzy Logical Model and the Cohort Model

作　　者：汪福祥[1] 蒋志森[1] 王和平 

机构地区：[1]北京第二外国语学院英语系，北京100024 [2]不详

出　　处：《外语教学》2002年第6期15-18,共4页Foreign Language Education

摘　　要：模糊逻辑模型和交股模型是心理语言学有关言语感知研究中解释言语听辨机制的重要模型理论。模糊逻辑模型运用模糊逻辑和原型的两个概念生动明确地描述了言语听辨的过程和言语在记忆中的储存情况。交股模型将各个层面的因素及影响都包括在言语听辨的过程中。然而 ,这两个模型也有各自的局限性。模糊逻辑模型主要强调语音因素的作用 ,而交股模型则误将听辩过程看作是去除交股中与目标词不相似词的过程。本文通过对两个模型局限性的解析 ,将二者的优点重组 ,以寻找一种更为合理地解释言语听辨过程的新途径。The Fuzzy Logical Model and the Cohort Model are two important models in explaining the mechanisms involved in speech perception. The Fuzzy Logical Model uses the concepts of fuzzy logic and prototypes while the Cohort Model includes all possible sources of information as factors that interact in word retrieval. But the two models each has its own limitations, for the Fuzzy Logical Model identifies phonetic factor as the only one that influences the process of speech perception while the Cohort Model fails in assuming that a cohort is activated by the beginning of the target word and that the process of speech perception is to eliminate words which don't resemble the target word. This paper attempts to delete the limitations of each model and recompose the advantages of both, aiming at finding a better and more effective way to explain the process and complexity of speech perception.

关 键 词：模糊逻辑模型 交股模型 言语听辨 

分 类 号：H003[语言文字—语言学]