Two halves of a meaningful text are statistically different. Issue 3 (25th March 2021)

• Record Type: Journal Article
• Authors: Deng, Weibing; Xie, Rongrong; Deng, Shegfeng; Allahverdyan, Armen E
• Is Part Of: Journal of statistical mechanics. Issue 3(2021)
• Publication Date: 2021-03-25
• Subjects: data mining -- inference in socio-economic system -- scaling in socio-economic systems; Statistical mechanics -- Periodicals; Mechanics -- Statistical methods -- Periodicals; 530.1305
• DOI: 10.1088/1742-5468/abe947
• Languages: English
• ISSNs: 1742-5468

Abstract

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, 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. These differences hold for the significant majority of several hundred relatively short texts we studied. Differences disappear after a 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.