第二语言学习者汉语声调范畴的习得一直是汉语学习的难点之一。为了深入研究声调范畴的认知机制,该研究采用动态的生长型树形自组织映射模型,模拟了英语母语者汉语声调范畴的认知发展过程。由于新发展的自组织模型既具有良好的拓扑映射性,又具有动态的容量扩展性,所以能很好地模拟英语母语者汉语声调范畴认知的动态发展过程。模拟结果跟行为实验结果呈现出非常好的一致性,这样既证明了行为实验中汉语声调范畴的动态发展过程,也为汉语声调认知范畴的机制研究提供了机理上的解释。通过对声调范畴习得过程中的一些模式和机制的研究,为声调教学提出了一些有益的建议。
Abstract
Mandarin tones category acquisition is very difficult for secondary language learner. In order to catch the acquisition mechanism of Mandarin tones category, we constructed a growing tree-structured self-organizing feature map model to simulate this dynamic acquisition process. The selected model is fit for simulating the Mandarin tones category acquisition for its good topology mapping and dynamic nodes expansion. The simulation results are consistent with the experimental results, revealing the dynamic developmental process of Mandarin tones category. In the mean ting, the research proved that self-organization is the most important mechanism of the tones category emergence. The study also provides meaningful implications for Mandarin tones-teaching.
Key wordsmandarin tones category; computer simulation; growing tree-structured self-organizing feature map
关键词
声调范畴 /
计算机模拟 /
生长型树形结构自组织映射模型
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Key words
mandarin tones category /
computer simulation /
growing tree-structured self-organizing feature map
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参考文献
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脚注
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基金
教育部人文社会科学研究青年基金项目(10YJC740011)
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