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The Chinese lexicon of deaf readers: A database of character decisions and a comparison between deaf and hearing readers.
Thierfelder, Philip; Cai, Zhenguang G; Huang, Shuting; Lin, Hao.
  • Thierfelder P; Department of Linguistics and Modern Languages, The Chinese University of Hong Kong, Sha Tin, N.T., Hong Kong, SAR.
  • Cai ZG; Department of Linguistics and Modern Languages, The Chinese University of Hong Kong, Sha Tin, N.T., Hong Kong, SAR. zhenguangcai@cuhk.edu.hk.
  • Huang S; Department of Linguistics and Modern Languages, The Chinese University of Hong Kong, Sha Tin, N.T., Hong Kong, SAR.
  • Lin H; Shanghai International Studies University, 550 Dalian Road(W), Shanghai, People's Republic of China. linhao@shisu.edu.cn.
Behav Res Methods ; 2023 Dec 20.
Article en En | MEDLINE | ID: mdl-38114882
ABSTRACT
We present a psycholinguistic study investigating lexical effects on simplified Chinese character recognition by deaf readers. Prior research suggests that deaf readers exhibit efficient orthographic processing and decreased reliance on speech-based phonology in word recognition compared to hearing readers. In this large-scale character decision study (25 participants, each evaluating 2500 real characters and 2500 pseudo-characters), we analyzed various factors influencing character recognition accuracy and speed in deaf readers. Deaf participants demonstrated greater accuracy and faster recognition when characters were more frequent, were acquired earlier, had more strokes, displayed higher orthographic complexity, were more imageable in reference, or were less concrete in reference. Comparison with a previous study of hearing readers revealed that the facilitative effect of frequency on character decision accuracy was stronger for deaf readers than hearing readers. The effect of orthographic-phonological regularity differed significantly for the two groups, indicating that deaf readers rely more on orthographic structure and less on phonological information during character recognition. Notably, increased stroke counts (i.e., higher orthographic complexity) hindered hearing readers but facilitated recognition processes in deaf readers, suggesting that deaf readers excel at recognizing characters based on orthographic structure. The database generated from this large-scale character decision study offers a valuable resource for further research and practical applications in deaf education and literacy.
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Texto completo: 1 Banco de datos: MEDLINE Idioma: En Año: 2023 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Idioma: En Año: 2023 Tipo del documento: Article