Advanced Learning Chinese Characters Method Based on the Characteristics of Component and Character Frequency

Chung Ching Wang, Ming Liang Wei, Yu Lin Chang, Hsueh Chih Chen, Yi Ling Chung, Jon Fan Hu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Chinese has been recognized as one of most major languages in the world, and it is evident that more and more people are interested in understanding or using Chinese. Thus, developing an efficient approach for learning Chinese characters is considered as an important issue. Certain previous studies have suggested various methods to learning Chinese characters for the purpose of showing students how to read Chinese characters. In Chinese, the components can offer learners phonological and morphological meanings similar to the prefixes and suffixes in English, and character frequency provides learners a character list which can be widely used in daily life. However, very few studies have considered integrating the characteristics of component and character frequency. In this study, we have developed an effective and systematic approach for learning Chinese characters based on both components and character frequency. The purpose of the study is to propose a traditional Chinese character learning metric and to present a method for learning only a few components and then the resulting reading of more high frequency characters made up of these components. Combining components and character frequency advantages, it can present an effective, systematic and rapid mechanism for learning traditional Chinese characters.

Original languageEnglish
Title of host publicationProceedings of the 36th Annual Meeting of the Cognitive Science Society, CogSci 2014
PublisherThe Cognitive Science Society
Pages3067-3071
Number of pages5
ISBN (Electronic)9780991196708
Publication statusPublished - 2014
Event36th Annual Meeting of the Cognitive Science Society, CogSci 2014 - Quebec City, Canada
Duration: 2014 Jul 232014 Jul 26

Publication series

NameProceedings of the 36th Annual Meeting of the Cognitive Science Society, CogSci 2014

Conference

Conference36th Annual Meeting of the Cognitive Science Society, CogSci 2014
Country/TerritoryCanada
CityQuebec City
Period14-07-2314-07-26

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Science Applications
  • Human-Computer Interaction
  • Cognitive Neuroscience

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