Searching for just a few words should be enough to get started. If you need to make more complex queries, use the tips below to guide you.
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: [email protected].
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
IOS Press, Inc.
6751 Tepper Drive
Clifton, VA 20124
USA
Tel: +1 703 830 6300
Fax: +1 703 830 2300
[email protected]
For editorial issues, like the status of your submitted paper or proposals, write to [email protected]
IOS Press
Nieuwe Hemweg 6B
1013 BG Amsterdam
The Netherlands
Tel: +31 20 688 3355
Fax: +31 20 687 0091
[email protected]
For editorial issues, permissions, book requests, submissions and proceedings, contact the Amsterdam office [email protected]
Inspirees International (China Office)
Ciyunsi Beili 207(CapitaLand), Bld 1, 7-901
100025, Beijing
China
Free service line: 400 661 8717
Fax: +86 10 8446 7947
[email protected]
For editorial issues, like the status of your submitted paper or proposals, write to [email protected]
如果您在出版方面需要帮助或有任何建, 件至: [email protected]