Approaching word length distribution via level spectra

Weibing Deng and Mauricio Porto Pato

Physica A: Statistical Mechanics and its Applications, 2017, vol. 481, issue C, 167-175

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.

Keywords: Word length distribution; Level spectra (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:481:y:2017:i:c:p:167-175

DOI: 10.1016/j.physa.2017.04.045

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