Shakespeare and other English Renaissance authors as characterized by Information Theory complexity quantifiers

被引：50

作者：

Rosso, Osvaldo A. ^{[1
,2
]}

Craig, Hugh ^{[3
]}

Moscato, Pablo ^{[1
]}

机构：

[1] Univ Newcastle, Sch Elect Engn & Comp Sci, Ctr Bioinformat Biomarker Discovery & Informat Ba, Callaghan, NSW 2308, Australia

[2] Univ Buenos Aires, Fac Ciencias Exactas & Nat, Inst Calculo, Chaos & Biol Grp, RA-1053 Buenos Aires, DF, Argentina

[3] Univ Newcastle, Fac Educ & Arts, Sch Humanities & Social Sci, Ctr Literary & Linguist Comp, Callaghan, NSW 2308, Australia

来源：

PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS | 2009年 / 388卷 / 06期

基金：

澳大利亚研究理事会;

关键词：

Entropy; Statistical complexity; English literature; Information Theory; STATISTICAL COMPLEXITY; ENTROPY; DIVERSITY; RICHNESS;

D O I：

10.1016/j.physa.2008.11.018

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

We introduce novel Information Theory quantifiers in a computational linguistic study that involves a large corpus of English Renaissance literature. The 185 texts studied (136 plays and 49 poems in total), with first editions that range from 1580 to 1640, form a representative set of its period. Our data set includes 30 texts unquestionably attributed to Shakespeare; in addition we also included A Lover's Complaint, a poem which generally appears in Shakespeare collected editions but whose authorship is currently in dispute. Our statistical complexity quantifiers combine the power of Jensen-Shannon's divergence with the entropy variations as computed from a probability distribution function of the observed word use frequencies. Our results show, among other things, that for a given entropy poems display higher complexity than plays, that Shakespeare's work falls into two distinct clusters in entropy, and that his work is remarkable for its homogeneity and for its closeness to overall means. (C) 2008 Elsevier B.V. All rights reserved.

引用

页码：916 / 926

页数：11

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