Keyword detection in natural languages and DNA

By M. Ortuño, P. Carpena, P. Bernaola-Galván, E. Muñoz, A. Somoza. 2002

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On the origin of long-range correlations in texts (2012, neutral): “3 we plot for different sequences the summary quantities γ̂ and στ∕hτi—a measure of the burstiness proportional to the relative width of pðτÞ (31, 32).”
Statistical keyword detection in literary corpora (2007, unknown): “rest neighbour word tokens (t i+1 − t i) is by deﬁnition s = v u u t 1 n−1 Xn i=0 ((t i+1 −t i) −µ) 2 . (2) To eliminate the dependence on the frequency of occurrence for diﬀerent word types, in Ref. [18] the authors suggest to normalise the token spacings, i.e., to measure them in units of their co”
Towards the Quantification of the Semantic Information Encoded in Written Language (2009, result): “itionally, by analyzing the statistics of the distance between consecutive occurrences of the same word in a text, it was shown that many words exhibit a phenomenon of clustering or “self-attraction” [12, 20]. Below, we quantify these results within the framework of information theory and show that ”