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dc.contributor.author
Montemurro, Marcelo Alejandro
dc.contributor.author
Zanette, Damian Horacio
dc.date.available
2021-02-09T04:03:43Z
dc.date.issued
2010-02
dc.identifier.citation
Montemurro, Marcelo Alejandro; Zanette, Damian Horacio; Towards the quantification of the semantic information encoded in written language; World Scientific; Advances In Complex Systems; 13; 2; 2-2010; 135-153
dc.identifier.issn
0219-5259
dc.identifier.uri
http://hdl.handle.net/11336/125163
dc.description.abstract
Written language is a complex communication signal capable of conveying information encoded in the form of ordered sequences of words. Beyond the local order ruled by grammar, semantic and thematic structures affect long-range patterns in word usage. Here, we show that a direct application of information theory quantifies the relationship between the statistical distribution of words and the semantic content of the text. We show that there is a characteristic scale, roughly around a few thousand words, which establishes the typical size of the most informative segments in written language. Moreover, we find that the words whose contributions to the overall information is larger, are the ones more closely associated with the main subjects and topics of the text. This scenario can be explained by a model of word usage that assumes that words are distributed along the text in domains of a characteristic size where their frequency is higher than elsewhere. Our conclusions are based on the analysis of a large database of written language, diverse in subjects and styles, and thus are likely to be applicable to general language sequences encoding complex information.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
World Scientific
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
COMPLEX COMMUNICATION
dc.subject
INFORMATION THEORY
dc.subject
NATURAL LANGUAGE
dc.subject.classification
Otras Ciencias Físicas
dc.subject.classification
Ciencias Físicas
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS
dc.title
Towards the quantification of the semantic information encoded in written language
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2021-01-27T19:16:53Z
dc.journal.volume
13
dc.journal.number
2
dc.journal.pagination
135-153
dc.journal.pais
Singapur
dc.description.fil
Fil: Montemurro, Marcelo Alejandro. University of Manchester; Reino Unido
dc.description.fil
Fil: Zanette, Damian Horacio. Comisión Nacional de Energía Atómica. Gerencia del Área de Investigación y Aplicaciones No Nucleares. Gerencia de Física (Centro Atómico Bariloche); Argentina. Comisión Nacional de Energía Atómica. Gerencia del Área de Energía Nuclear. Instituto Balseiro; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte; Argentina
dc.journal.title
Advances In Complex Systems
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/arxiv/http://arxiv.org/abs/0907.1558
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.worldscientific.com/doi/abs/10.1142/S0219525910002530
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1142/S0219525910002530
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