Competition between two kinds of correlations in literary texts.

By S. S. Melnyk, O. Usatenko, V. Yampol’skii, V. A. Golick. 2004

25 citations recorded by the source corpus.

A theory of additive Markov chains with long-range memory is used to describe the correlation properties of coarse-grained literary texts. The complex structure of the correlations in the texts is revealed. Anti-persistent correlations at small distances, L approximately < 300, and persistent ones at L approximately > 300 define this non-trivial structure. For some concrete examples of literary texts, the memory functions are obtained and their power-law behavior at long distances is disclosed. This property is shown to be a cause of self-similarity of texts with respect to the decimation procedure.

Subfields: Economics and Econometrics, Mathematical Physics, Molecular Biology, Computational Linguistics & Semantics

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

1. Giampaolo Cristadoro
2. Eduardo G. Altmann
3. Mirko Degli Esposti

In Molecular Biology

1. Giampaolo Cristadoro
2. Eduardo G. Altmann
3. Mirko Degli Esposti

Citations in the corpus

• On the origin of long-range correlations in texts (2012, background): “) (1, 16, 20, 24, 25), to the use of the frequencyrank (26) or parts of speech (19) on the level of words.”