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Issue title: Intelligent and Fuzzy Systems applied to Language & Knowledge Engineering
Guest editors: David Pinto, Vivek Kumar Singh, Aline Villavicencio, Philipp Mayr-Schlegel and Efstathios Stamatatos
Article type: Research Article
Authors: Solovyev, Valerya; * | Ivanov, Vladimirb | Solnyshkina, Marinac
Affiliations: [a] Research and Education Center on Linguistics named after I.A. Boduen de Kurtene, Kazan Federal University, Kazan, Russian Federation | [b] Innopolis University, Innopolis, Russian Federation | [c] Department of German Philology, Higher School of Russian and Foreign Philology, Kazan Federal University, Kazan, Russian Federation
Correspondence: [*] Corresponding author. Valery Solovyev, Research and Education Center on Linguistics named after I.A. Boduen de Kurtene, Kazan Federal University, 18 Kremlyovskaya street, Kazan 420008, Russian Federation. Tel.: +7 843 233 75 12; Fax: +7 843 292 74 18; E-mail: maki.solovyev@mail.ru.
Abstract: In this paper we explore to what extent text parameters, such as average number of words per sentence, syllables per word, nouns per sentence, frequency of content words, etc. can successfully rank Russian academic texts for different age and grade levels. We provide a brief overview of previous research on readability of Russian texts and describe the corpus of school textbooks on Social Studies (from 5-th to 11-th grade) compiled by the authors. We share our experience of using a variety of quantitative text complexity metrics and evaluate the measures of existing Russian text complexity formulas. Based on the tests of a set of extended text features, we propose one innovative metric for better prediction of Russian text complexity, i.e. the number of adjectives. As the results obtained compare favorably with the previously published results on the established complexity metrics for Russian texts, the study encourages the development of valid, reliable and transparent complexity tools for Russian texts.
Keywords: Text complexity, readability of academic text, Russian language, readability formulas
DOI: 10.3233/JIFS-169489
Journal: Journal of Intelligent & Fuzzy Systems, vol. 34, no. 5, pp. 3049-3058, 2018
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