Estudo comparativo do resumo acadêmico e do texto de popularização da ciência em português brasileiro sob a perspectiva da linguística sistêmico-funcional

Abstract

This paper explores a quali-quantitative methodology to analyze linguistic data by identifying and analyzing nominal group categories in two texts, an abstract and a popular science text based on the abstract, in order to develop a replicable linguistic methodology to compare text types. The study is based on the analysis of the patternsgenerated by processing natural language as tokens to explain a linguistic phenomenon. The methodology used comprised the manual annotation of categories drawing on Systemic-Functional Linguistics (HALLIDAY; MATTHIESSEN, 2014) in an electronic spreadsheet, followed by quantitative data processing and analysis performed in R (R CORE TEAM, 2015). Results showed differences regarding the frequency of Experiential Epithets, Interpersonal Epithets, Classifiers and Qualifiers, which is higher in the popular science text.