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• W2090939716 abstract "Abstract We define the syllable-to-character mapping spectrum in Chinese as the normalized number of characters per syllable ranked from high to low. This spectrum provides a statistical characterization of the relationship between spoken and written Chinese. We have shown that two functions, the logarithmic function and the beta rank function, fit the syllable-to-character mapping spectrum well. The beta rank function is even better than the logarithmic function judged by two measures of data-fitting performance: the sum of square errors, and Akaike information criterion. We comment on why the beta rank function is a good fitting function for many range-limited ranking data, whereas for range-open data it may be out-performed by other functions, such as a power-law function in the case of Zipf’s law." @default.
• W2090939716 created "2016-06-24" @default.
• W2090939716 creator A5057425369 @default.
• W2090939716 date "2012-02-01" @default.
• W2090939716 modified "2023-10-01" @default.
• W2090939716 title "Fitting Chinese syllable-to-character mapping spectrum by the beta rank function" @default.
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• W2090939716 doi "https://doi.org/10.1016/j.physa.2011.08.024" @default.
• W2090939716 hasPublicationYear "2012" @default.
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