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Abstract:

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. © 2008 Elsevier B.V. All rights reserved.

Registro:

Documento: Artículo
Título:Shakespeare and other English Renaissance authors as characterized by Information Theory complexity quantifiers
Autor:Rosso, O.A.; Craig, H.; Moscato, P.
Filiación:Centre for Bioinformatics, Biomarker Discovery and Information-Based Medicine, School of Electrical Engineering and Computer Science, University Drive, Callaghan, NSW 2308, Australia
Chaos and Biology Group, Instituto de Cálculo, Facultad de Ciencias Exactas y Naturales, Pabellon II, Ciudad Universitaria, 1428 Ciudad de Buenos Aires, Argentina
Centre for Literary and Linguistic Computing, School of Humanities and Social Science, Faculty of Education and Arts, University Drive, Callaghan, NSW 2308, Australia
Palabras clave:English literature; Entropy; Information Theory; Statistical complexity; Computational linguistics; Distribution functions; Entropy; Information theory; Probability distributions; Data sets; English literature; Entropy variations; Probability distribution functions; Statistical complexity; Computational complexity
Año:2009
Volumen:388
Número:6
Página de inicio:916
Página de fin:926
DOI: http://dx.doi.org/10.1016/j.physa.2008.11.018
Título revista:Physica A: Statistical Mechanics and its Applications
Título revista abreviado:Phys A Stat Mech Appl
ISSN:03784371
CODEN:PHYAD
Registro:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_03784371_v388_n6_p916_Rosso

Referencias:

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Citas:

---------- APA ----------
Rosso, O.A., Craig, H. & Moscato, P. (2009) . Shakespeare and other English Renaissance authors as characterized by Information Theory complexity quantifiers. Physica A: Statistical Mechanics and its Applications, 388(6), 916-926.
http://dx.doi.org/10.1016/j.physa.2008.11.018
---------- CHICAGO ----------
Rosso, O.A., Craig, H., Moscato, P. "Shakespeare and other English Renaissance authors as characterized by Information Theory complexity quantifiers" . Physica A: Statistical Mechanics and its Applications 388, no. 6 (2009) : 916-926.
http://dx.doi.org/10.1016/j.physa.2008.11.018
---------- MLA ----------
Rosso, O.A., Craig, H., Moscato, P. "Shakespeare and other English Renaissance authors as characterized by Information Theory complexity quantifiers" . Physica A: Statistical Mechanics and its Applications, vol. 388, no. 6, 2009, pp. 916-926.
http://dx.doi.org/10.1016/j.physa.2008.11.018
---------- VANCOUVER ----------
Rosso, O.A., Craig, H., Moscato, P. Shakespeare and other English Renaissance authors as characterized by Information Theory complexity quantifiers. Phys A Stat Mech Appl. 2009;388(6):916-926.
http://dx.doi.org/10.1016/j.physa.2008.11.018