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Orthographic influences on division of labor in learning to read Chinese and English: Insights from computational modeling

机译:学习中英语和英语劳动分工的矫正影响:计算建模的见解

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摘要

Learning to read any language requires learning to map among print, sound and meaning. Writing systems differ in a number of factors that influence both the ease and rate with which reading skill can be acquired, as well as the eventual division of labor between phonological and semantic processes. Further, developmental reading disability manifests differently across writing systems, and may be related to different deficits in constitutive processes. Here we simulate some aspects of reading acquisition in Chinese and English using the same model architecture for both writing systems. The contribution of semantic and phonological processing to literacy acquisition in the two languages is simulated, including specific effects of phonological and semantic deficits. Further, we demonstrate that similar patterns of performance are observed when the same model is trained on both Chinese and English as an "early bilingual." The results are consistent with the view that reading skill is acquired by the application of statistical learning rules to mappings among print, sound and meaning, and that differences in the typical and disordered acquisition of reading skill between writing systems are driven by differences in the statistical patterns of the writing systems themselves, rather than differences in cognitive architecture of the learner.
机译:学习阅读任何语言都需要学习在文字,声音和含义之间进行映射。写作系统在许多因素上有所不同,这些因素既影响阅读技能的易用性和学习率,又影响音位和语义过程之间的最终分工。此外,发育性阅读障碍在写作系统中表现出不同的表现,并且可能与构成过程中的不同缺陷有关。在这里,我们为两个书写系统使用相同的模型架构来模拟中文和英文阅读习得的某些方面。模拟了两种语言的语义和语音处理对识字率的贡献,包括语音和语义缺陷的特定影响。此外,我们证明,当以“早期双语者”的身份在中文和英文上训练相同的模型时,会观察到相似的表现模式。结果与以下观点相一致:通过将统计学习规则应用于印刷品,声音和含义之间的映射来获取阅读技能,并且书写系统之间的典型和无序阅读技能获取的差异是由统计差异引起的写作系统本身的模式,而不是学习者的认知架构上的差异。

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