@inproceedings{fabe68cbd3dc443d9ddcdc7656abb9e3,
title = "Advanced Learning Chinese Characters Method Based on the Characteristics of Component and Character Frequency",
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.",
keywords = "Character frequency, Components, Learning Chinese",
author = "Wang, {Chung Ching} and Wei, {Ming Liang} and Chang, {Yu Lin} and Chen, {Hsueh Chih} and Chung, {Yi Ling} and Hu, {Jon Fan}",
note = "Publisher Copyright: {\textcopyright} 2014 Proceedings of the 36th Annual Meeting of the Cognitive Science Society, CogSci 2014. All rights reserved.; 36th Annual Meeting of the Cognitive Science Society, CogSci 2014 ; Conference date: 23-07-2014 Through 26-07-2014",
year = "2014",
language = "English",
series = "Proceedings of the 36th Annual Meeting of the Cognitive Science Society, CogSci 2014",
publisher = "The Cognitive Science Society",
pages = "3067--3071",
booktitle = "Proceedings of the 36th Annual Meeting of the Cognitive Science Society, CogSci 2014",
}