Lexical Diversity Parameters Analysis for Author's Styles in Scientific and Technical Publications

Abstract

A self-developed dataset based on the analysis of more than 300 Ukrainian-language scientific and technical publications from the specialized Bulletin of the Lviv Polytechnic National University of the Information Systems and Networks series for 2001-2016 is selected. It contains information about the lexical and syntactic development of the author's styles of scientific publications-technical direction. Namely are the total number of words in this text, the number of words in a certain text (without repetitions), the number of words with a frequency of 1, the number of words with a frequency of 10 or more, the number of separate sentences, the number of prepositions, the number of conjunctions, Lexical diversity, Syntactic complexity, coefficient of speech coherence, exclusivity index, concentration index. The purpose of the research is to find the differences and dependence of the given data. For this, various methods of visualization and data processing, smoothing methods and correlation analysis are used. © 2023 Copyright for this paper by its authors.