Complexity measurement of natural and artificial languages
Por:
Febres G., Jaffé K., Gershenson C.
Publicada:
1 jul 2015
Categoría:
Multidisciplinary
Resumen:
We compared entropy for texts written in natural languages (English, Spanish) and artificial languages (computer software) based on a simple expression for the entropy as a function of message length and specific word diversity. Code text written in artificial languages showed higher entropy than text of similar length expressed in natural languages. Spanish texts exhibit more symbolic diversity than English ones. Results showed that algorithms based on complexity measures differentiate artificial from natural languages, and that text analysis based on complexity measures allows the unveiling of important aspects of their nature. We propose specific expressions to examine entropy related aspects of tests and estimate the values of entropy, emergence, self-organization, and complexity based on specific diversity and message length. © 2014 Wiley Periodicals, Inc.
Filiaciones:
Febres G.:
Laboratorio de Evolución, Universidad Simón Bolívar, Miranda, Venezuela
Jaffé K.:
Laboratorio de Evolución, Universidad Simón Bolívar, Miranda, Venezuela
Gershenson C.:
Univ Nacl Autonoma Mexico, Ctr Ciencias Complejidad, Mexico City 04510, DF, Mexico
Univ Nacl Autonoma Mexico, Inst Invest Matemat Aplicadas & Sistemas, Mexico City 04510, DF, Mexico
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