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A Study on the Synergistic Relationship between Lexical Structure and Word Frequency, Polysemy and Synonym in Modem Chinese

机译:Modem中文词汇结构与词汇频率与词频协同关系的研究

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In this study, the concept of structural complexity was introduced to classify the level of Chinese vocabulary structure. Based on Lancaster Corpus of Mandarin Chinese, the econometric method was adopted to explore the synergistic relationship between Chinese lexical structure and word frequency, Polysemy and Synonym, and to verify the relevant theoretical assumptions and mathematical models. The results show that there is a reverse dependency relationship between Chinese lexical structure and word frequency, Polysemy and Synonym. The function model $y=Ax^{b}e^{-cx}$ is more accurate than $y=Ax^{-b}$ in fitting the observed data of word frequency, while the relationship between Polysemy, Synonym and lexical structure can be respectively described by the models $y=Ax^{b}$ and $y=Ax^{b}e^{cx}$.
机译:在这项研究中,引入了结构复杂性的概念,分类了中国词汇结构的水平。基于普通话中文兰开斯特的语料库,采用了经济学方法来探讨中国词汇结构和词汇,多义和同义词之间的协同关系,验证相关的理论假设和数学模型。结果表明,中文词汇结构与单词频率,多义和同义词之间存在反向依赖关系。函数型号$ y = ax ^ {b} e ^ { - cx} $比$ y = ax ^ { - b} $拟合观察到的词频数据,而Polysemy,同义词与词汇之间的关系结构可以分别由型号为$ y = ax ^ {b} $和$ y = ax ^ {b} e ^ {cx} $。

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