4.5 Article

The Chinese lexicon of deaf readers: A database of character decisions and a comparison between deaf and hearing readers

Journal

BEHAVIOR RESEARCH METHODS
Volume -, Issue -, Pages -

Publisher

SPRINGER
DOI: 10.3758/s13428-023-02305-z

Keywords

Deafness; Lexicon project; Chinese; Character recognition; Lexical variables

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This study investigates the lexical effects on simplified Chinese character recognition by deaf readers. The results show that deaf readers exhibit higher accuracy and faster recognition in character recognition compared to hearing readers. Factors influencing character recognition accuracy and speed in deaf readers include frequency, acquisition time, stroke counts, orthographic complexity, imageability, and concreteness in reference. Deaf readers rely more on orthographic structure rather than phonological information during character recognition, compared to hearing readers.
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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