KFU. Card publication. Studying Text Complexity in Russian Academic Corpus with Multi-Level Annotation

KAZAN
FEDERAL UNIVERSITY

- RUS
- 中文
- ES

STUDYING TEXT COMPLEXITY IN RUSSIAN ACADEMIC CORPUS WITH MULTI-LEVEL ANNOTATION

Form of presentation

Articles in international journals and collections

Year of publication

2019

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Authors, employees of KFU

Danilov Andrey Vladimirovich, author

Solnyshkina Marina Ivanovna, author

Solovev Valeriy Dmitrievich, author

Other authors

Ivanov Vladimir , author

Bibliographic description in the original language

Studying Text Complexity in Russian Academic Corpus with Multi-Level Annotation / M. Solnyshkina, V. Solovyev, V.Ivanov, A. Danilov// Computational Models in Language and Speech Workshop (CMLS 2018)Proceedings - 2018, Vol.2303, pp. 93-103

Annotation

Proceedings of Computational Models in Language and Speech Workshop (CMLS 2018)

Keywords

multi-level, annotated corpus, Russian academic texts, text complexity, POS-tags, dependencies, word frequencies.

The name of the journal

Proceedings of Computational Models in Language and Speech Workshop (CMLS 2018)

URL

http://ceur-ws.org/Vol-2303/paper7.pdf

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

https://repository.kpfu.ru/eng/?p_id=194483&p_lang=2

Resource files

File name	Size (MB)	Format
F_paper7.pdf	0,41	pdf	show / download

Full metadata record

Field DC	Value	Language
dc.contributor.author	Danilov Andrey Vladimirovich	ru_RU
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	2019-01-01T00:00:00Z	ru_RU
dc.date.available	2019-01-01T00:00:00Z	ru_RU
dc.date.issued	2019	ru_RU
dc.identifier.citation	Studying Text Complexity in Russian Academic Corpus with Multi-Level Annotation / M. Solnyshkina, V. Solovyev, V.Ivanov, A. Danilov// Computational Models in Language and Speech Workshop (CMLS 2018)Proceedings - 2018, Vol.2303, pp. 93-103	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/eng/?p_id=194483&p_lang=2	ru_RU
dc.description.abstract	Proceedings of Computational Models in Language and Speech Workshop (CMLS 2018)	ru_RU
dc.description.abstract	The problem of compiling a large multi-level annotated corpus of Russian academic texts was sparked by the demand to measure complexity (difficulty) of texts assigned to certain grade levels in terms of meeting their cognitive and linguistic needs. For this purpose we produced a corpus of 20 textbooks on Social Studies and History written for Russian secondary and high school students. Measuring text complexity called for linguistic annotations at various language levels including POS-tags, dependencies, word frequencies. Three complexity formulas are compared as an example of using a corpus to study the complexity of texts.	ru_RU
dc.language.iso	ru	ru_RU
dc.subject	multi-level	ru_RU
dc.subject	annotated corpus	ru_RU
dc.subject	Russian academic texts	ru_RU
dc.subject	text complexity	ru_RU
dc.subject	POS-tags	ru_RU
dc.subject	dependencies	ru_RU
dc.subject	word frequencies.	ru_RU
dc.title	Studying Text Complexity in Russian Academic Corpus with Multi-Level Annotation	ru_RU
dc.type	Articles in international journals and collections	ru_RU