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Sound and Meaning Components during Speech Comprehension of Mandarin Compounds

机译:汉语普通话语音理解过程中的声音和意义成分

摘要

Under the framework of dual-route theory of speech comprehension, two neurological routes are simultaneously active during speech decoding, the dorsal stream and the ventral stream. The dorsal stream is argued to be a sound processor whereas the ventral stream is a meaning processor, hence in cognitive terms, they are called the sound component and the meaning component respectively. Hypotheses concerning the processing speed and response accuracy of these two cognitive components were tested on compound words in Modern Mandarin Chinese. Four experiments were run contrasting, the sound-based task and the meaning-based task, corresponding to each of the two cognitive components. In Experiment 1 and 2, the Task effect was tested on one set of words in which the word-level and word-initial-syllable frequencies were controlled. In Experiment 3 and 4, the Task effect was tested on a different set of words in which semantic transparency was controlled. Multiple regression analyses integrating the data collected in Experiment 1-4 were conducted to test which language theory was preferred, the probability-based theory, the rule-based theory or the integrative theory. The probability-based theory suggests that speech comprehension of compound words relies only on the probability distribution of linguistic units. The rule-based theory suggests that speech comprehension of compound words relies only on phrase-structural rules. The integrative theory suggests that speech comprehension of compound words relies on both the probabilities of linguistic units and phrase-structural rules. It was suggested that the integrative theory explains the data best, but further data testing is needed to confirm this hypothesis. The results of the present study provide evidence for functional trade-off of the sound and meaning components, garden path effects during parsing opaque words and the possibility of the role of a mirror system in human speech comprehension.
机译:在语音理解的双路径理论的框架下,在语音解码期间同时激活了两条神经路径,即背侧流和腹侧流。背面流被认为是声音处理器,而腹侧流是意思处理器,因此从认知角度来说,它们分别称为声音成分和意义成分。在现代普通话中,对复合词测试了关于这两个认知成分的处理速度和响应精度的假设。进行了四个对比实验,分别是基于声音的任务和基于含义的任务,分别对应于两个认知组件。在实验1和2中,在一组单词上测试了Task效果,在其中控制了单词级别和单词首音节频率。在实验3和4中,在控制语义透明性的另一组单词上测试了Task效果。进行了对实验1-4中收集的数据进行整合的多元回归分析,以测试首选语言理论,基于概率的理论,基于规则的理论或综合理论。基于概率的理论表明,复合词的语音理解仅依赖于语言单元的概率分布。基于规则的理论表明,复合词的语音理解仅依赖于短语结构规则。整合理论表明,复合词的语音理解既依赖于语言单元的概率,也依赖于短语结构规则。有人提出,综合理论可以最好地解释数据,但是需要进一步的数据测试以证实这一假设。本研究的结果为声音和含义成分的功能折衷,解析不透明单词期间的花园路径影响以及镜子系统在人类语音理解中的作用可能性提供了证据。

著录项

  • 作者

    Ji Sunjing;

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  • 年度 2016
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  • 原文格式 PDF
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