01302nas a2200157   4500008004100000245006300041210006300104260001600167300001200183490000700195520084700202100002001049700001701069700002301086856003501109       2015                        eng d00aComplexity measurement of natural and artificial languages0 aComplexity measurement of natural and artificial languages  cJuly/August  a25–480 v203 aWe 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.1 aFebres, Gerardo1 aJaffe, Klaus1 aGershenson, Carlos  uhttp://arxiv.org/abs/1311.5427