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Prediction of reading difficulty in Russian academic texts

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dc.contributor.author Solovyev V.
dc.contributor.author Solnyshkina M.
dc.contributor.author Ivanov V.
dc.contributor.author Batyrshin I.
dc.date.accessioned 2020-01-15T21:45:33Z
dc.date.available 2020-01-15T21:45:33Z
dc.date.issued 2019
dc.identifier.issn 1064-1246
dc.identifier.uri https://dspace.kpfu.ru/xmlui/handle/net/155688
dc.description.abstract © 2019 - IOS Press and the authors. All rights reserved. Education policy makers viewmeasuring academic texts readability and profiling classroom textbooks as a primary task of education management aimed at sustaining quality of reading programs. As Russian readability metrics, i.e. "objective" features of texts determining its complexity for readers, are still a research niche, we undertook a comparative analysis of academic texts features exemplified in textbooks on Social Science and examination texts of Russian as a foreign language. Experiments for 7 classifiers and 4 methods of linear regression on Russian Readability corpus demonstrated that ranking textbooks for native speakers is a much more difficult task than ranking examination texts written (or designed) for foreign students. The authors see a possible reason for this in differences between two processes: Acquiring a native language on the one hand and learning a foreign language on the other. The results of the current study are extremely relevant in modern Russia which is joining the Bologna Process and needs to provide profiled texts for all types of learners and testees. Based on a qualitative and quantitative analysis of a text, the research offers a guide for education managers to help build consensus on selecting a reading material when educators have differing views.
dc.relation.ispartofseries Journal of Intelligent and Fuzzy Systems
dc.subject Examination tests
dc.subject Machine learning
dc.subject Russian academic text
dc.subject Text complexity
dc.subject Text readability
dc.title Prediction of reading difficulty in Russian academic texts
dc.type Article
dc.relation.ispartofseries-issue 5
dc.relation.ispartofseries-volume 36
dc.collection Публикации сотрудников КФУ
dc.relation.startpage 4553
dc.source.id SCOPUS10641246-2019-36-5-SID85066439580


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  • Публикации сотрудников КФУ Scopus [24551]
    Коллекция содержит публикации сотрудников Казанского федерального (до 2010 года Казанского государственного) университета, проиндексированные в БД Scopus, начиная с 1970г.

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