Long-range correlations between letters and sentences in texts

Werner Ebeling and Alexander Neiman

Physica A: Statistical Mechanics and its Applications, 1995, vol. 215, issue 3, 233-241

Abstract: We mapped three long texts to random walks and calculated several correlation measures as Hölder exponents, higher-order cumulants and power spectra. By means of computer experiments we have found that shuffling on/or below the sentence level generates strings showing no anomalous diffusion, no higher-order cumulants and no power spectra with 1/fδ-shape. In this way we have shown that the long correlations reflected in these measures are not based on correlations inside sentences but reflect the large-scale structure beyond the sentence level.

Date: 1995
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Citations: View citations in EconPapers (11)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:215:y:1995:i:3:p:233-241

DOI: 10.1016/0378-4371(95)00025-3

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