Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Identification of Clinical Factors Associated With the Immunogenicity of Homologous ChAdOx1-nCoV-19 Vaccine in Hemodialysis Patients.

The Kaohsiung journal of medical sciences·2026
Same author

Cool and Hot Executive Functions in The Brain Network: Insight From a New Assessment Instrument for Measuring Cool and Hot Inhibition.

Assessment·2025
Same author

Serum Uric Acid Level as an Estimated Parameter That Predicts All-Cause Mortality in Patients with Hemodialysis.

Journal of personalized medicine·2025
Same author

Body dissatisfaction and unhealthy weight-control behaviors of adolescents: The roles of exposure to influencer marketing and use of dating apps.

Medicine·2025
Same author

Correction: Forecasting outbound student mobility: A machine learning approach.

PloS one·2025
Same author

Dynamics of two distinct memory interactions during water seeking in <i>Drosophila</i>.

Proceedings of the National Academy of Sciences of the United States of America·2025

Related Experiment Video

Updated: Oct 26, 2025

Comparing the Frequency Effect Between the Lexical Decision and Naming Tasks in Chinese
08:08

Comparing the Frequency Effect Between the Lexical Decision and Naming Tasks in Chinese

Published on: April 1, 2016

9.5K

Development and validation of a Chinese pseudo-character/non-character producing system.

Li-Yun Chang1, Chien-Chih Tseng2, Charles A Perfetti3

  • 1Department of Chinese as a Second Language, National Taiwan Normal University, Taipei, Taiwan.

Behavior Research Methods
|August 2, 2021
PubMed
Summary

Researchers can now create custom Chinese experimental materials with the Chinese pseudo-character/non-character producing system (CPN system). This tool aids in studying Chinese orthographic processing and lexical acquisition.

Keywords:
Chinese lexical processingChinese orthographyartificial charactersnon-characterspseudo-characterssemi non-characters

More Related Videos

Digital Handwriting Analysis of Characters in Chinese Patients with Mild Cognitive Impairment
05:58

Digital Handwriting Analysis of Characters in Chinese Patients with Mild Cognitive Impairment

Published on: March 11, 2021

4.7K
Examining Online Syntactic Processing of Spoken Complex Sentences in Chinese Using Dual-Modal Interference Tasks
08:32

Examining Online Syntactic Processing of Spoken Complex Sentences in Chinese Using Dual-Modal Interference Tasks

Published on: September 5, 2019

5.7K

Related Experiment Videos

Last Updated: Oct 26, 2025

Comparing the Frequency Effect Between the Lexical Decision and Naming Tasks in Chinese
08:08

Comparing the Frequency Effect Between the Lexical Decision and Naming Tasks in Chinese

Published on: April 1, 2016

9.5K
Digital Handwriting Analysis of Characters in Chinese Patients with Mild Cognitive Impairment
05:58

Digital Handwriting Analysis of Characters in Chinese Patients with Mild Cognitive Impairment

Published on: March 11, 2021

4.7K
Examining Online Syntactic Processing of Spoken Complex Sentences in Chinese Using Dual-Modal Interference Tasks
08:32

Examining Online Syntactic Processing of Spoken Complex Sentences in Chinese Using Dual-Modal Interference Tasks

Published on: September 5, 2019

5.7K

Area of Science:

  • Cognitive Psychology
  • Linguistics
  • Computational Linguistics

Background:

  • Studying Chinese lexical processing requires controlled experimental materials.
  • Existing tools for generating Chinese pseudo-characters are limited in scope and data-driven approaches.

Purpose of the Study:

  • To develop and validate a comprehensive system for generating Chinese pseudo-characters and non-characters.
  • To provide researchers with a tool to manipulate orthographic characteristics for studying Chinese reading.

Main Methods:

  • Developed a Chinese pseudo-character/non-character producing system (CPN system) based on a dataset of 6097 characters.
  • Extracted detailed orthographic information including radical structure, frequency, stroke count, and positional regularity.
  • Validated the system's stimuli through an orthographic choice task with Chinese-as-second-language learners and native speakers.

Main Results:

  • The CPN system successfully generated pseudo-characters, semi non-characters, and whole non-characters.
  • Empirical validation showed that proficient readers better identify pseudo-characters, indicating the impact of radical position-based information.
  • The system provides downloadable images and data for efficient stimulus creation.

Conclusions:

  • The CPN system is a valuable, large-scale, data-driven tool for Chinese orthographic processing research.
  • The system facilitates the study of Chinese lexical processing, instruction, and cross-linguistic comparisons.
  • Radical position-based information significantly influences Chinese character identification.