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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 5 of 5 1 Random matrices applications to soft spectra ... Xie, Rongrong; Deng, Weibing; Pato, Mauricio P.. - : arXiv, 2020 BASE Show details 2 Relating Zipf's law to textual information ... Deng, Weibing; Allahverdyan, Armen E.. - : arXiv, 2018 BASE Show details 3 Stochastic model for phonemes uncovers an author-dependency of their usage ... Deng, Weibing; Allahverdyan, Armen E.. - : arXiv, 2015 BASE Show details 4 On the ranking property and underlying dynamics of complex systems ; Sur la propriété classement et dynamique sous-jacente des systèmes complexes Deng, Weibing. - : HAL CCSD, 2013 In: https://tel.archives-ouvertes.fr/tel-00839310 ; Other [cond-mat.other]. Université du Maine, 2013. English. ⟨NNT : 2013LEMA1010⟩ (2013) BASE Show details 5 Explaining Zipf's Law via Mental Lexicon ... Allahverdyan, Armen E.; Deng, Weibing; Wang, Q. A.. - : arXiv, 2013 Abstract: The Zipf's law is the major regularity of statistical linguistics that served as a prototype for rank-frequency relations and scaling laws in natural sciences. Here we show that the Zipf's law -- together with its applicability for a single text and its generalizations to high and low frequencies including hapax legomena -- can be derived from assuming that the words are drawn into the text with random probabilities. Their apriori density relates, via the Bayesian statistics, to general features of the mental lexicon of the author who produced the text. ... Keyword: Computation and Language cs.CL; Data Analysis, Statistics and Probability physics.data-an; FOS Computer and information sciences; FOS Physical sciences; Statistical Mechanics cond-mat.stat-mech URL: https://dx.doi.org/10.48550/arxiv.1302.4383 https://arxiv.org/abs/1302.4383 BASE Hide details

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