Dynamics of text generation with realistic Zipf distribution

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dc.creatorZanette, Damián H.
dc.creatorMontemurro, Marcelo A.
dc.date2002-12-19
dc.date.accessioned2026-07-07T02:48:51Z
dc.date.available2026-07-07T02:48:51Z
dc.descriptionWe investigate the origin of Zipf's law for words in written texts by means of a stochastic dynamical model for text generation. The model incorporates both features related to the general structure of languages and memory effects inherent to the production of long coherent messages in the communication process. It is shown that the multiplicative dynamics of our model leads to rank-frequency distributions in quantitative agreement with empirical data. Our results give support to the linguistic relevance of Zipf's law in human language.
dc.descriptionfour pages, two figures
dc.identifierhttps://arxiv.org/abs/cond-mat/0212496
dc.identifierhttp://arxiv.org/abs/cond-mat/0212496
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/20569
dc.subjectStatistical Mechanics
dc.titleDynamics of text generation with realistic Zipf distribution
dc.typetext

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