Форма представления | Статьи в зарубежных журналах и сборниках |
Год публикации | 2019 |
Язык | английский |
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Данилов Андрей Владимирович, автор
Солнышкина Марина Ивановна, автор
Соловьев Валерий Дмитриевич, автор
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Иванов Владимир , автор
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Библиографическое описание на языке оригинала |
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 |
Аннотация |
Proceedings of Computational Models in Language and Speech Workshop (CMLS 2018) |
Ключевые слова |
multi-level, annotated corpus, Russian academic texts, text complexity, POS-tags, dependencies, word frequencies.
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Название журнала |
Proceedings of Computational Models in Language and Speech Workshop (CMLS 2018)
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URL |
http://ceur-ws.org/Vol-2303/paper7.pdf |
Пожалуйста, используйте этот идентификатор, чтобы цитировать или ссылаться на эту карточку |
https://repository.kpfu.ru/?p_id=194483 |
Файлы ресурса | |
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Полная запись метаданных |
Поле DC |
Значение |
Язык |
dc.contributor.author |
Данилов Андрей Владимирович |
ru_RU |
dc.contributor.author |
Солнышкина Марина Ивановна |
ru_RU |
dc.contributor.author |
Соловьев Валерий Дмитриевич |
ru_RU |
dc.contributor.author |
Иванов Владимир |
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/?p_id=194483 |
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.
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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 |
Статьи в зарубежных журналах и сборниках |
ru_RU |
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