演讲制作
计算机科学
衔接(社会学)
编码(内存)
语音错误
生产(经济)
过程(计算)
选择(遗传算法)
语言生产
对话
语音识别
对象(语法)
词(群论)
自然语言处理
语言学
人工智能
心理学
认知
宏观经济学
法学
神经科学
经济
哲学
操作系统
政治
政治学
作者
Willem J. M. Levelt,Ardi Roelofs,Antje S. Meyer
标识
DOI:10.1017/s0140525x99001776
摘要
Preparing words in speech production is normally a fast and accurate process. We generate them two or three per second in fluent conversation; and overtly naming a clear picture of an object can easily be initiated within 600 msec after picture onset. The underlying process, however, is exceedingly complex. The theory reviewed in this target article analyzes this process as staged and feedforward. After a first stage of conceptual preparation, word generation proceeds through lexical selection, morphological and phonological encoding, phonetic encoding, and articulation itself. In addition, the speaker exerts some degree of output control, by monitoring of self-produced internal and overt speech. The core of the theory, ranging from lexical selection to the initiation of phonetic encoding, is captured in a computational model, called weaver++. Both the theory and the computational model have been developed in interaction with reaction time experiments, particularly in picture naming or related word production paradigms, with the aim of accounting for the real-time processing in normal word production. A comprehensive review of theory, model, and experiments is presented. The model can handle some of the main observations in the domain of speech errors (the major empirical domain for most other theories of lexical access), and the theory opens new ways of approaching the cerebral organization of speech production by way of high-temporal-resolution imaging.
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