FUNCTIONAL PARALLELISM IN SPOKEN WORD-RECOGNITION
FUNCTIONAL PARALLELISM IN SPOKEN WORD-RECOGNITION
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DOI：
10.1016/0010-0277(87)90005-9
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发表时间：
1987-03-01
期刊：
影响因子：
3.4
通讯作者：
MARSLENWILSON, WD
中科院分区：
文献类型：
--
作者：
MARSLENWILSON, WD
口语单词识别的过程分为三个基本功能，即访问、选择和整合。通达涉及语音输入到词汇形式表征的映射，选择涉及对与该输入最匹配的最佳匹配的歧视，整合涵盖词汇水平上的句法和语义信息到更高水平的处理的映射。本文介绍了两个版本的“队列”为基础的模型，这些过程中，显示它是如何从一个部分互动的模型，其中访问是严格自主的，但选择是受自上而下的控制，一个完全自下而上的模型，其中上下文中起不到任何作用的形式为基础的访问和选择的过程。语境在更高层次的表征和在线生成的关于群体成员的句法和语义属性的信息之间的界面上起作用。新模型完整地保留了基于队列的单词识别过程的基本特征。它体现了多重访问和多重评估的概念，允许最有效的识别过程，基于感性选择的偶然性原则。
The process of spoken word-recognition breaks down into three basic functions, of access, selection and integration. Access concerns the mapping of the speech input onto the representations of lexical form, selection concerns the discrimination of the best-fitting match to this input, and integration covers the mapping of syntactic and semantic information at the lexical level onto higher levels of processing. This paper describes two versions of "cohort"-based model of these processes, showing how it evolves from a partially interactive model, where access is strictly autonomous but selections is subject to top-down control, to a fully bottom-up model, where context plays no role in the processes of form-based access and selection. Context operates instead at the interface between higher-level representations and information generated on-line about the syntactic and semantic properties of members of the cohort. The new model retains intact the fundamental characteristics of a cohort-based word-recognition process. It embodies the concepts of multiple access and multiple assessment, allowing a maximally efficient recognition process, based on the principle of the contingency of perceptual choice.