Two halves of a meaningful text are statistically different
April 09, 2020 ยท Declared Dead ยท ๐ Journal of Statistical Mechanics: Theory and Experiment
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Authors
Weibing Deng, R. Xie, S. Deng, Armen E. Allahverdyan
arXiv ID
2004.06474
Category
cs.CL: Computation & Language
Cross-listed
cs.DS,
physics.soc-ph
Citations
4
Venue
Journal of Statistical Mechanics: Theory and Experiment
Last Checked
5 months ago
Abstract
Which statistical features distinguish a meaningful text (possibly written in an unknown system) from a meaningless set of symbols? Here we answer this question by comparing features of the first half of a text to its second half. This comparison can uncover hidden effects, because the halves have the same values of many parameters (style, genre {\it etc}). We found that the first half has more different words and more rare words than the second half. Also, words in the first half are distributed less homogeneously over the text in the sense of of the difference between the frequency and the inverse spatial period. These differences hold for the significant majority of several hundred relatively short texts we studied. The statistical significance is confirmed via the Wilcoxon test. Differences disappear after random permutation of words that destroys the linear structure of the text. The differences reveal a temporal asymmetry in meaningful texts, which is confirmed by showing that texts are much better compressible in their natural way (i.e. along the narrative) than in the word-inverted form. We conjecture that these results connect the semantic organization of a text (defined by the flow of its narrative) to its statistical features.
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