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Efficiency of text readability features in Russian academic texts

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dc.date.accessioned 2019-01-22T20:57:51Z
dc.date.available 2019-01-22T20:57:51Z
dc.date.issued 2018
dc.identifier.issn 2221-7932
dc.identifier.uri https://dspace.kpfu.ru/xmlui/handle/net/149636
dc.description.abstract © 2018 Rossiiskii Gosudarstvennyi Gumanitarnyi Universitet.All Rights Reserved. This paper addresses the problem of readability assessment for Russian texts and investigates the impact of 24 lexical, syntactic and frequency features. The research was conducted on Russian Readability Corpus containing two sub-corpora, two sets of 5–11 grade level textbooks on Social studies for native speakers of Russian. The sub-corpora were collected for research purposes, annotated and marked as BOG and NIK. The application of the Ridge regression has demonstrated the connection between readability and average sentence length, average number of coordinating chains, average number of sub-trees, frequency and lexical features. The results of the study have the potential to be applied in a wide variety of areas including primarily education, as well as webpage design, document management.
dc.relation.ispartofseries Komp'juternaja Lingvistika i Intellektual'nye Tehnologii
dc.subject Average number of coordinating chains
dc.subject Average sentence length
dc.subject Readability assessment
dc.subject Russian Readability Corpus
dc.title Efficiency of text readability features in Russian academic texts
dc.type Conference Paper
dc.relation.ispartofseries-issue 17
dc.collection Публикации сотрудников КФУ
dc.relation.startpage 284
dc.source.id SCOPUS22217932-2018-17-SID85058052676


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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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