Literature DB >> 29131368

Models of Chinese Reading: Review and Analysis.

Erik D Reichle1, Lili Yu2.   

Abstract

Our understanding of the cognitive processes involved in reading has been advanced by computational models that simulate those processes (e.g., see Reichle, 2015). Unfortunately, most of these models have been developed to explain the reading of English and other alphabetic languages, with relatively fewer efforts to examine whether or not the assumptions of these models also explain what has been learned from other languages and, in particular, non-alphabetic writing systems like Chinese (e.g., see Li, Zang, Liversedge, & Pollatsek, 2015). In this article, we will review those computational models that have been developed to explain the reading of Chinese, with the goal of comparing their theoretical assumptions to those of models that explain the reading of English. Our analysis indicates that there are both points of convergence and divergence between the theoretical assumptions of Chinese versus English models, suggesting that the cognitive systems supporting reading may be differentially influenced by features of the languages and/or writing systems, or that certain theoretical assumptions developed to explain the reading of one language might be adapted to explain the reading of others.
Copyright © 2017 Cognitive Science Society, Inc.

Entities:  

Keywords:  Chinese; Computational models; Reading; Sentence processing; Word identification

Mesh:

Year:  2017        PMID: 29131368     DOI: 10.1111/cogs.12564

Source DB:  PubMed          Journal:  Cogn Sci        ISSN: 0364-0213


  5 in total

1.  Eye-movement evidence for the mental representation of strokes in Chinese characters.

Authors:  Lili Yu; Jianping Xiong; Qiaoming Zhang; Denis Drieghe; Erik D Reichle
Journal:  J Exp Psychol Learn Mem Cogn       Date:  2018-07-09       Impact factor: 3.051

2.  GECO-CN: Ghent Eye-tracking COrpus of sentence reading for Chinese-English bilinguals.

Authors:  Longjiao Sui; Nicolas Dirix; Evy Woumans; Wouter Duyck
Journal:  Behav Res Methods       Date:  2022-07-27

Review 3.  The Brain Connectome for Chinese Reading.

Authors:  Wanwan Guo; Shujie Geng; Miao Cao; Jianfeng Feng
Journal:  Neurosci Bull       Date:  2022-05-16       Impact factor: 5.271

4.  A Comparative Study of Three Measurement Methods of Chinese Character Recognition for L2 Chinese Learners.

Authors:  Haiwei Zhang; Sun-A Kim; Xueyan Zhang
Journal:  Front Psychol       Date:  2022-03-25

5.  Word complexity modulates the divided-word effect during Chinese reading.

Authors:  Mingzhe Zhang; Xuejun Bai; Sainan Li
Journal:  Front Psychol       Date:  2022-09-23
  5 in total

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