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朝着分级心理词汇空间映射模型迈进:汉字阅读发展中的亚词汇和词汇表征。

Toward a Graded Psycholexical Space Mapping Model: Sublexical and Lexical Representations in Chinese Character Reading Development.

机构信息

1 University of Hong Kong.

2 Chinese University of Hong Kong.

出版信息

J Learn Disabil. 2018 Sep/Oct;51(5):482-489. doi: 10.1177/0022219417718199. Epub 2017 Jul 10.

Abstract

Following a review of contemporary models of word-level processing for reading and their limitations, we propose a new hypothetical model of Chinese character reading, namely, the graded lexical space mapping model that characterizes how sublexical radicals and lexical information are involved in Chinese character reading development. The underlying assumption of this model is that Chinese character recognition is a process of competitive mappings of phonology, semantics, and orthography in both lexical and sublexical systems, operating as functions of statistical properties of print input based on the individual's specific level of reading. This model leads to several testable predictions concerning how the quasiregularity and continuity of Chinese-specific radicals are organized in memory for both child and adult readers at different developmental stages of reading.

摘要

在回顾了当前阅读中单词级处理的模型及其局限性之后,我们提出了一个新的汉字阅读假设模型,即分级词汇空间映射模型,该模型描述了如何在汉字阅读发展过程中涉及到次词汇根和词汇信息。该模型的基本假设是,汉字识别是一个在词汇和次词汇系统中语音、语义和正字法竞争映射的过程,其运作方式是基于个体阅读特定水平的印刷输入的统计特性的函数。该模型导致了几个可测试的预测,涉及到儿童和成人读者在阅读的不同发展阶段的记忆中,汉字特有的次词汇根的准规律性和连续性是如何组织的。

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