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Arthur Berg

Pennsylvania State University, USA

 

Abstract

This study introduces an innovative approach to learning Chinese by leveraging unique soundcharacter relationships. By employing the concept of entropy in sound-character mappings, we provide a systematic method for identifying and categorizing characters based on their phonetic uniqueness. Our approach specifically targets listening and writing skills, focusing on improving dictation abilities by distinguishing between sounds corresponding to unique characters and those associated with multiple characters. This method not only facilitates accurate character writing but also reinforces correct pronunciation, leading to comprehensive improvement in Chinese language proficiency. By providing quantitative measures of the relationship between pronunciations and characters through entropy calculations and integrating these findings into practical learning tools, this study contributes to a more nuanced understanding of Chinese learning. It offers practical applications for both educators and learners, potentially enhancing teaching effectiveness and learner outcomes.

 

Keywords

Sound-character mapping, phonological awareness, tone recognition, entropy, educational technology

 

基于熵的汉字音字映射学习

董愉

宾夕法尼亚州立大学，美国

 

摘要

本研究介绍了一种利用独特音字关系的创新汉语学习方法。通过在音字映射中应用熵的概念，我们提供了一种基于语音独特性来识别和分类汉字的系统方法。我们的方法专注于听力和写作技能，着重通过区分对应于唯一汉字的声音和与多个汉字相关的声音来提高听写能力。这种方法不仅有助于准确书写汉字，还能强化正确的发音，从而全面提高汉语水平。通过熵计算提供发音和汉字之间关系的定量指标，并将这些发现整合到实际的学习工具中，本研究为更深入地理解汉语学习做出贡献，并为教育者和学习者提供实际应用，可能提高教学效果和学习成果。

 

关键词

声字映射 , 语音意识 , 音调识别 , 熵 , 教育技术