Literature DB >> 33184689

ERP evidence for asymmetric orthographic transfer between traditional and simplified Chinese.

Jiushu Xie1,2, Yanli Huang1, Ke Chen3, Qian Lin4,5, John X Zhang6, Lei Mo4,5.   

Abstract

Transferring orthographic processing skills from one language to new languages is important for language learning. However, the specific orthography hypothesis and condition-based transfer hypothesis have debated orthographic transfer. No study has ever examined these debates in a logographic language, and the neural correlates of orthographic transfer in a logographic language remain unknown. Therefore, the present study uses event-related potentials to examine orthographic transfer with Hong Kong (Experiment 1) and mainland China (Experiment 2) participants who only use traditional or simplified Chinese, respectively. The participants sequentially read two of the same (repetition) or different (nonrepetition) traditional or simplified Chinese characters and judged whether they were identical. The results showed that the orthography-related N200 component was smaller in the repetition condition than in the nonrepetition condition. Importantly, for traditional Chinses users, this effect was more salient in traditional Chinese than in simplified Chinese, suggesting limited transfer from traditional to simplified Chinese. For simplified Chinese users, this effect was comparable in traditional and simplified Chinese, suggesting a smooth transfer from simplified to traditional Chinese. The results supported the condition-based transfer hypothesis, and showed asymmetric transfer between simple orthographic rules and complex ones. That is, simple orthographic rules can be transferred to complex ones smoothly, but not vice versa.

Entities:  

Keywords:  Chinese; Logographic language; Orthographic transfer; Orthography

Mesh:

Year:  2020        PMID: 33184689     DOI: 10.1007/s00221-020-05976-8

Source DB:  PubMed          Journal:  Exp Brain Res        ISSN: 0014-4819            Impact factor:   1.972


  23 in total

1.  ERP manifestations of processing printed words at different psycholinguistic levels: time course and scalp distribution.

Authors:  S Bentin; Y Mouchetant-Rostaing; M H Giard; J F Echallier; J Pernier
Journal:  J Cogn Neurosci       Date:  1999-05       Impact factor: 3.225

2.  Electrophysiological difference between mental state decoding and mental state reasoning.

Authors:  Bihua Cao; Yiyuan Li; Fuhong Li; Hong Li
Journal:  Brain Res       Date:  2012-05-14       Impact factor: 3.252

3.  Left-lateralized N170 response to unpronounceable pseudo but not false Chinese characters-the key role of orthography.

Authors:  S E Lin; H C Chen; J Zhao; S Li; S He; X C Weng
Journal:  Neuroscience       Date:  2011-06-13       Impact factor: 3.590

4.  Electrophysiological evidence for relation information activation in Chinese compound word comprehension.

Authors:  Xiaofei Jia; Suiping Wang; Bao Zhang; John X Zhang
Journal:  Neuropsychologia       Date:  2013-04-11       Impact factor: 3.139

5.  Testing the interdependence hypothesis among native adult bilingual Russian-English students.

Authors:  S Abu-Rabia
Journal:  J Psycholinguist Res       Date:  2001-07

6.  Emerging neurophysiological specialization for letter strings.

Authors:  Urs Maurer; Silvia Brem; Kerstin Bucher; Daniel Brandeis
Journal:  J Cogn Neurosci       Date:  2005-10       Impact factor: 3.225

7.  Lexical orthographic knowledge develops from the beginning of literacy acquisition.

Authors:  Catherine Martinet; Sylviane Valdois; Michel Fayol
Journal:  Cognition       Date:  2004-03

8.  Electrophysiological Studies of Face Perception in Humans.

Authors:  Shlomo Bentin; Truett Allison; Aina Puce; Erik Perez; Gregory McCarthy
Journal:  J Cogn Neurosci       Date:  1996-11       Impact factor: 3.225

9.  Fast, visual specialization for reading in English revealed by the topography of the N170 ERP response.

Authors:  Urs Maurer; Daniel Brandeis; Bruce D McCandliss
Journal:  Behav Brain Funct       Date:  2005-08-09       Impact factor: 3.759

10.  Does N200 reflect semantic processing?--An ERP study on Chinese visual word recognition.

Authors:  Yingchun Du; Qin Zhang; John X Zhang
Journal:  PLoS One       Date:  2014-03-12       Impact factor: 3.240

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