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- W2564373609 abstract "Serial correlation statistics has been widely used ivarious fields of science, but apparently has not yet been applied to the analysis of texts. In this paper a method is offere d using measurements and computations of certain statistica l sums that reflect the variability of the letters’ distribution along texts. It opened a way for the analysis of texts’ structure no t available by other means and thus led to the discovery of hid den regularities in the structure of semantically meani ngful texts, including, for example, an “average domain of minim al letters variability,” common for all semantically meaningfu l texts in various languages, but absent in meaningless string s of symbols. Another revelation was the connection of c serial correlation parameters with Zipf’s law." @default.
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- W2564373609 date "2011-01-01" @default.
- W2564373609 modified "2023-10-17" @default.
- W2564373609 title "Serial Correlation Statistics of Written Texts" @default.
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