TY - GEN
T1 - Advanced Learning Chinese Characters Method Based on the Characteristics of Component and Character Frequency
AU - Wang, Chung Ching
AU - Wei, Ming Liang
AU - Chang, Yu Lin
AU - Chen, Hsueh Chih
AU - Chung, Yi Ling
AU - Hu, Jon Fan
N1 - Funding Information:
This research is partially supported by the ’Aim for the Top University Project’ of National Taiwan Normal University (NTNU), sponsored by the Ministry of Education, Taiwan,R.O.C. and the ’International Research-Intensive Center of Excellence Program’ of NTNU and National Science Council, Taiwan, R.O.C. under Grant no. NSC 103-2911-I-003-301.
Publisher Copyright:
© 2014 Proceedings of the 36th Annual Meeting of the Cognitive Science Society, CogSci 2014. All rights reserved.
PY - 2014
Y1 - 2014
N2 - 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.
AB - 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.
KW - Character frequency
KW - Components
KW - Learning Chinese
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M3 - Conference contribution
AN - SCOPUS:85082229756
T3 - Proceedings of the 36th Annual Meeting of the Cognitive Science Society, CogSci 2014
SP - 3067
EP - 3071
BT - Proceedings of the 36th Annual Meeting of the Cognitive Science Society, CogSci 2014
PB - The Cognitive Science Society
T2 - 36th Annual Meeting of the Cognitive Science Society, CogSci 2014
Y2 - 23 July 2014 through 26 July 2014
ER -