Entropic analysis of the role of words in literary texts

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dc.creatorMontemurro, Marcelo A.
dc.creatorZanette, Damian H.
dc.date2001-09-12
dc.date.accessioned2026-07-07T02:42:42Z
dc.date.available2026-07-07T02:42:42Z
dc.descriptionBeyond the local constraints imposed by grammar, words concatenated in long sequences carrying a complex message show statistical regularities that may reflect their linguistic role in the message. In this paper, we perform a systematic statistical analysis of the use of words in literary English corpora. We show that there is a quantitative relation between the role of content words in literary English and the Shannon information entropy defined over an appropriate probability distribution. Without assuming any previous knowledge about the syntactic structure of language, we are able to cluster certain groups of words according to their specific role in the text.
dc.description9 pages, 5 figures
dc.identifierhttps://arxiv.org/abs/cond-mat/0109218
dc.identifierhttp://arxiv.org/abs/cond-mat/0109218
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/18247
dc.subjectStatistical Mechanics
dc.subjectComputation and Language
dc.titleEntropic analysis of the role of words in literary texts
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