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What regions of Chinese characters are crucial for recognition? A web-based study.

Zhang, Qi orcid logoORCID: 0000-0002-1061-4036 and Reilly, Ronan G. (2020) What regions of Chinese characters are crucial for recognition? A web-based study. Journal of Chinese Writing Systems, 4 (4). pp. 297-311. ISSN 2513-8502

Abstract
The study involves approximately 250 Chinese university students from eight institutions to determine what parts of a representative sample of Chinese characters are crucial to their correct identification. One-hundred and two simplified characters were presented to participants using a web-based experimental platform. The characters were partially obscured using a gaussian blurring technique. The direction of maximum blur could either be from top to bottom, bottom to top, left to right, or right to left. Participants were asked to identify the blurred character and type its pinyin. Overall, participants correctly identified 88% of characters. The effects of all forms of blurring on correct recognition were correlated with character structures. Phonetic radicals seem to be more sensitive to the blurring than semantic radicals, while the radical transparency and radical frequency also plays a role in the recognition accuracy. The blurring conditions that impacted most significantly on correct recognition were top to bottom and bottom to top, which caused, respectively, the upper and lower parts of the character to be obscured.
Metadata
Item Type:Article (Published)
Refereed:Yes
Uncontrolled Keywords:Chinese characters; recognition; blurring
Subjects:Humanities > Linguistics
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Humanities and Social Science > School of Applied Language and Intercultural Studies
Publisher:SAGE Publications
Official URL:https://dx.doi.org/10.1177/2513850220950020
Copyright Information:© 2020 SAGE Publications
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
ID Code:26388
Deposited On:26 Oct 2021 09:10 by Qi Zhang . Last Modified 29 Jun 2022 16:08
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