The Chinese Lexicon Project II: A megastudy of speeded naming performance for 25,000+ traditional Chinese two-character words

Chi-Shing TSE*, Yuen-Lai CHAN, Melvin J. YAP, Ho Chung TSANG

*Corresponding author for this work

Research output: Journal PublicationsJournal Article (refereed)peer-review

7 Citations (Scopus)

Abstract

Using a megastudy approach, (Tse et al., 2017 Behavior Research Methods, 49, 1503–1519) established a large-scale repository of lexical variables and lexical decision responses for more than 25,000 traditional Chinese two-character words. In the current study, we expand their database by collecting norms for speeded naming reaction times (RTs) and accuracy rates, and compiling more lexical variables (e.g., phonological consistency and semantic neighborhood size). Following Tse et al.’s procedure, about 33 college-aged native Cantonese speakers in Hong Kong read aloud each word. We conducted item-level regression analyses to test the relative predictive power of orthographic variables (e.g., stroke count), phonological variables (e.g., phonological consistency), and semantic variables (e.g., semantic transparency) in naming performance. We also compared the effects of lexical variables on naming performance and Tse et al.’s lexical decision performance to examine the extent to which effects are task-specific or task-general. Freely accessible to the research community, this resource provides a valuable addition to other influential mega-databases, such as the English Lexicon Project (Balota et al., 2004 Journal of Experimental Psychology: General, 133, 283–316), and furthers our understanding of Chinese word recognition processes.

Original languageEnglish
Pages (from-to)4382-4402
Number of pages21
JournalBehavior Research Methods
Volume55
Issue number8
Early online date28 Nov 2022
DOIs
Publication statusPublished - Dec 2023
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2022, The Psychonomic Society, Inc.

Keywords

  • Chinese
  • Megastudy
  • Naming
  • Two-character word
  • Visual word recognition

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