Consistency and regularity effects in character identification: A greater role for global than local mapping congruence

IF 2.1 2区 心理学 Q1 AUDIOLOGY & SPEECH-LANGUAGE PATHOLOGY
Lin Zhou, Charles Perfetti
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引用次数: 1

Abstract

Consistency and regularity, concepts that arise, respectively, from the connectionist and classical cognitive modeling work in alphabetic reading, are two ways to characterize the orthography-to-phonology mappings of written languages. These concepts have been applied to Chinese reading research despite important differences across writing systems, with mixed results concerning their relative importance. The present study of covert naming in Chinese is distinctive in testing the ERP effects of regularity and consistency in a fully orthogonal design. We found that consistency, but not regularity, affected the N170, P200 and N400 as well as pronunciation transcription accuracies, demonstrating a more prominent role of consistency than regularity in character naming, consistent with conclusions from English word naming. To capture a generalization across writing systems, we propose mapping congruence as a writing-system-independent way of referring to orthography-to-phonology mappings and illustrate these congruence effects in an interactive framework of character identification.

一致性和规律性对字符识别的影响:全局映射一致性比局部映射一致性的作用更大
一致性和规律性这两个概念分别来自字母阅读中的联结主义和经典认知建模工作,它们是描述书面语正字法到音系映射的两种方式。这些概念已经被应用到汉语阅读研究中,尽管不同书写系统之间存在重要差异,但它们的相对重要性却有不同的结果。本研究的特点是采用完全正交设计检验了规则性和一致性的ERP效应。我们发现,一致性而非规律性影响了N170、P200和N400以及发音转录的准确性,表明一致性在汉字命名中的作用比规律性更突出,这与英语单词命名的结论一致。为了获得跨书写系统的概括,我们提出映射一致性作为一种独立于书写系统的方式来参考正字法到音系的映射,并在字符识别的交互式框架中说明这些一致性效应。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Brain and Language
Brain and Language 医学-神经科学
CiteScore
4.50
自引率
8.00%
发文量
82
审稿时长
20.5 weeks
期刊介绍: An interdisciplinary journal, Brain and Language publishes articles that elucidate the complex relationships among language, brain, and behavior. The journal covers the large variety of modern techniques in cognitive neuroscience, including functional and structural brain imaging, electrophysiology, cellular and molecular neurobiology, genetics, lesion-based approaches, and computational modeling. All articles must relate to human language and be relevant to the understanding of its neurobiological and neurocognitive bases. Published articles in the journal are expected to have significant theoretical novelty and/or practical implications, and use perspectives and methods from psychology, linguistics, and neuroscience along with brain data and brain measures.
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