O ciclo da comunicação científica na semiosfera

Este ensaio apresenta a construção de um objeto de pesquisa com base na teoria da semiótica da cultura. São feitas reflexões sobre os sistemas modelizantes envolvidos no ciclo da comunicação científica em grupo de pesquisa de universidade, desde a busca da informação até a publicação dos resultados dos estudos. As linguagens naturais (idiomas) e artificiais (linguagem de busca em computadores e vocabulários controlados) são identificadas. A partir disso, o objeto se delineia como o conjunto de textos da cultura e a própria semiosfera, representada pelos diálogos dos sujeitos da cultura e o processo de comunicação envolvido. Alguns desafios se apresentam, como: a necessidade de aprofundamento na teoria da semiótica da cultura, a participação do pesquisador também como sujeito da pesquisa e o trabalho com a interdisciplinaridade para estudar um objeto com as vertentes da ciência da informação, biomedicina, semiótica e outras disciplinas a elas relacionadas.

Probing the statistical properties of unknown texts: application to the Voynich manuscript

While the use of statistical physics methods to analyze large corpora has been useful to unveil many patterns in texts, no comprehensive investigation has been performed on the interdependence between syntactic and semantic factors. In this study we propose a framework for determining whether a text (e.g., written in an unknown alphabet) is compatible with a natural language and to which language it could belong. The approach is based on three types of statistical measurements, i.e. obtained from first-order statistics of word properties in a text, from the topology of complex networks representing texts, and from intermittency concepts where text is treated as a time series. Comparative experiments were performed with the New Testament in 15 different languages and with distinct books in English and Portuguese in order to quantify the dependency of the different measurements on the language and on the story being told in the book. The metrics found to be informative in distinguishing real texts from their shuffled versions include assortativity, degree and selectivity of words. As an illustration, we analyze an undeciphered medieval manuscript known as the Voynich Manuscript. We show that it is mostly compatible with natural languages and incompatible with random texts. We also obtain candidates for keywords of the Voynich Manuscript which could be helpful in the effort of deciphering it. Because we were able to identify statistical measurements that are more dependent on the syntax than on the semantics, the framework may also serve for text analysis in language-dependent applications.