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汉语作为第二语言的声调认知发展模拟

Simulating Mandarin tone acquisition by CSL learners who are native English speakers
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摘要 该文提出了一个动态的生长型树型自组织特征映射网络,用以模拟英语母语者汉语声调的认知发展。该网络既克服了传统的Kohonen自组织特征映射网络的固定网络结构限制以及容量有限性,又克服了其他类似动态网络的较弱的拓扑映射特性,可以较好地模拟英语母语者汉语声调认知的发展。模拟结果跟实验结果呈现出非常好的一致性,既证明了行为实验中汉语声调的动态发展过程,也为汉语声调认知的机制研究提供了机理上的解释。 A growing tree-structured self-organizing feature map network was developed to simulate the acquisition of Mandarin tones by native English speakers.This network has a dynamic network construction and capacity that is better than the traditional Kohonen self-organizing feature map.This network also more effectively preserves the global topology mapping than early dynamic tree-like maps.Simulations of the acquisition of Mandarin tones are consistent with experimental results.These show the dynamic developmental process of Mandarin tones.The results show that self-organization is an important mechanism for tone emergence and that tone feature teaching is important for Mandarin tone-teaching strategies.
作者 陈默
出处 《清华大学学报(自然科学版)》 EI CAS CSCD 北大核心 2011年第9期1201-1204,共4页 Journal of Tsinghua University(Science and Technology)
基金 教育部人文社会科学研究青年基金项目(10YJC740011)
关键词 无声调语言 汉语声调 计算机模拟 生长型树形结构自组织特征映射 non-tone language Mandarin tone computer simulation growing tree-structured self-organizing feature map
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