KFU. Card publication. Efficiency of Text Readability Features in Russian Academic Texts

KAZAN
FEDERAL UNIVERSITY

- RUS
- 中文
- ES

EFFICIENCY OF TEXT READABILITY FEATURES IN RUSSIAN ACADEMIC TEXTS

Form of presentation

Articles in Russian journals and collections

Year of publication

2018

Язык

русский

Authors, employees of KFU

Solnyshkina Marina Ivanovna, author

Solovev Valeriy Dmitrievich, author

Other authors

Ivanov Vladimir , author

Bibliographic description in the original language

Ivanov, V., Solnyshkina M., Solovyev, V., Efficiency of Text Readability Features in Russian Academic Texts// Kompyuternaya lingvistika i intellektualnye tekhnologii: Po materialam ezhegodnoy mezhdunarodnoy konferencii «Dialog» (Moskva, 30 maya — 2 iyunya 2018 g.). Vyp. 17 (24), 2018. C. 276-285.

Annotation

Computational Linguistics and Intellectual Technologies

Keywords

readability assessment, Russian Readability Corpus, average sentence length, average number of coordinating chains

The name of the journal

Computational Linguistics and Intellectual Technologies

URL

http://www.dialog-21.ru/media/4277/sbornik2018.pdf

Please use this ID to quote from or refer to the card

https://repository.kpfu.ru/eng/?p_id=181741&p_lang=2

Full metadata record

Field DC	Value	Language
dc.contributor.author	Solnyshkina Marina Ivanovna	ru_RU
dc.contributor.author	Solovev Valeriy Dmitrievich	ru_RU
dc.contributor.author	Ivanov Vladimir	ru_RU
dc.date.accessioned	2018-01-01T00:00:00Z	ru_RU
dc.date.available	2018-01-01T00:00:00Z	ru_RU
dc.date.issued	2018	ru_RU
dc.identifier.citation	Ivanov, V., Solnyshkina M., Solovyev, V., Efficiency of Text Readability Features in Russian Academic Texts// Компьютерная лингвистика и интеллектуальные технологии: По материалам ежегодной международной конференции «Диалог» (Москва, 30 мая — 2 июня 2018 г.). Вып. 17 (24), 2018. C. 276-285.	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/eng/?p_id=181741&p_lang=2	ru_RU
dc.description.abstract	Computational Linguistics and Intellectual Technologies	ru_RU
dc.description.abstract	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.	ru_RU
dc.language.iso	ru	ru_RU
dc.subject	readability assessment	ru_RU
dc.subject	Russian Readability Corpus	ru_RU
dc.subject	average sentence length	ru_RU
dc.subject	average number of coordinating chains	ru_RU
dc.title	Efficiency of Text Readability Features in Russian Academic Texts	ru_RU
dc.type	Articles in Russian journals and collections	ru_RU