Individual differences in Cantonese Chinese word recognition: Insights from the Chinese Lexicon Project
| Autor: | Rosemarie Yh Lim, Melvin J. Yap, Chi-Shing Tse |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Adult
Male China Databases Factual Physiology Computer science Decision Making Individuality Experimental and Cognitive Psychology computer.software_genre Lexicon 050105 experimental psychology Task (project management) 03 medical and health sciences Fluency 0302 clinical medicine Physiology (medical) Lexical decision task Humans 0501 psychology and cognitive sciences General Psychology Processing fluency Psycholinguistics business.industry 05 social sciences Reproducibility of Results Mean and predicted response Recognition Psychology General Medicine Middle Aged Word lists by frequency Neuropsychology and Physiological Psychology Pattern Recognition Visual Reading Compound Female Artificial intelligence business computer 030217 neurology & neurosurgery Natural language processing |
| Zdroj: | Quarterly Journal of Experimental Psychology. 73:504-518 |
| ISSN: | 1747-0226 1747-0218 |
| DOI: | 10.1177/1747021820906566 |
| Popis: | The Chinese Lexicon Project is a repository of lexical decision data for 25,286 Cantonese Chinese two-character compound words. To create that repository, 594 participants responded to approximately 1,404 words and 1,404 nonwords over three sessions. Using the data in this repository, the present study examines the variability and reliability of Chinese lexical decision performance, along with the moderating influence of individual differences on lexical processing. We generally found high to very high within- and between-session reliabilities for mean response times, ex-Gaussian parameters, accuracy rates, and a composite proficiency measure tapping lexical processing fluency. Using linear mixed effects models, we also found reliable interactions between fluency and two lexical effects. Specifically, more fluent readers showed larger effects of word frequency and semantic transparency. These results attest to the stability of Chinese word recognition performance, and are most consistent with a flexible lexical processing system that adapts optimally to task demands. |
| Databáze: | OpenAIRE |
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