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Approaching word length distribution via level spectra

Author

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  • Deng, Weibing
  • Pato, Mauricio Porto

Abstract

Treating a text, after the removal of paragraphs and punctuations, as a spectrum of blanks, the distributions of the length of words of ten languages are analyzed. Using models from the statistical theory of spectra, it is found that the ten languages can be classified into two families: one with words that follow a Wigner-like distribution while the words of the other obey a Poisson-like distribution.

Suggested Citation

  • Deng, Weibing & Pato, Mauricio Porto, 2017. "Approaching word length distribution via level spectra," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 481(C), pages 167-175.
    • Handle: RePEc:eee:phsmap:v:481:y:2017:i:c:p:167-175
    DOI: 10.1016/j.physa.2017.04.045
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    Cited by:

    1. Xie, Rongrong & Deng, Shengfeng & Deng, Weibing & Pato, Mauricio P., 2022. "Generalized Poisson ensemble," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 585(C).
    2. Ficcadenti, Valerio & Cerqueti, Roy & Ausloos, Marcel & Dhesi, Gurjeet, 2020. "Words ranking and Hirsch index for identifying the core of the hapaxes in political texts," Journal of Informetrics, Elsevier, vol. 14(3).

    More about this item

    Keywords

    Word length distribution; Level spectra;

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