KFU. Card publication. Assessment of reading difficulty levels in Russian academic texts: Approaches and metrics

KAZAN
FEDERAL UNIVERSITY

- RUS
- 中文
- ES

ASSESSMENT OF READING DIFFICULTY LEVELS IN RUSSIAN ACADEMIC TEXTS: APPROACHES AND METRICS

Form of presentation

Articles in international journals and collections

Year of publication

2018

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Authors, employees of KFU

Solnyshkina Marina Ivanovna, author

Solovev Valeriy Dmitrievich, author

Bibliographic description in the original language

Solovyev Valery, Ivanov Vladimir, Solnyshkina Marina, Assessment of reading difficulty levels in Russian academic texts: Approaches and metrics//JOURNAL OF INTELLIGENT & FUZZY SYSTEMS. - 2018. - Vol.34, Is.5. - P.3049-3058.

Annotation

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

school textbooks on Social Studies

The name of the journal

JOURNAL OF INTELLIGENT & FUZZY SYSTEMS

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

https://repository.kpfu.ru/eng/?p_id=183374&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.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	Solovyev Valery, Ivanov Vladimir, Solnyshkina Marina, Assessment of reading difficulty levels in Russian academic texts: Approaches and metrics//JOURNAL OF INTELLIGENT & FUZZY SYSTEMS. - 2018. - Vol.34, Is.5. - P.3049-3058.	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/eng/?p_id=183374&p_lang=2	ru_RU
dc.description.abstract	JOURNAL OF INTELLIGENT & FUZZY SYSTEMS	ru_RU
dc.description.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.	ru_RU
dc.language.iso	ru	ru_RU
dc.subject		ru_RU
dc.title	Assessment of reading difficulty levels in Russian academic texts: Approaches and metrics	ru_RU
dc.type	Articles in international journals and collections	ru_RU