Форма представления | Статьи в зарубежных журналах и сборниках |
Год публикации | 2018 |
Язык | русский |
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Солнышкина Марина Ивановна, автор
Соловьев Валерий Дмитриевич, автор
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Иванов Владимир , автор
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Библиографическое описание на языке оригинала |
Valery Solovyev, Marina Solnyshkina, Vladimir Ivanov, Svetlana Timoshenko. Complexity of Russian Academic Texts as the Function of Syntactic Parameters, 19th International Conference on Computational Linguistics and Intelligent Text Processing, CICLing 2018, March 18 to 24, 2018, Hanoi, Vietnam. |
Аннотация |
19th International Conference on Computational Linguistics and Intelligent Text Processing, CICLing 2018, March 18 to 24, 2018, Hanoi, Vietnam. |
Ключевые слова |
complexity, textbook,syntactic features |
Название журнала |
19th International Conference on Computational Linguistics and Intelligent Text Processing, CICLing 2018, March 18 to 24, 2018, Hanoi, Vietnam.
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Пожалуйста, используйте этот идентификатор, чтобы цитировать или ссылаться на эту карточку |
https://repository.kpfu.ru/?p_id=181734 |
Полная запись метаданных |
Поле DC |
Значение |
Язык |
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 |
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 |
Valery Solovyev, Marina Solnyshkina, Vladimir Ivanov, Svetlana Timoshenko. Complexity of Russian Academic Texts as the Function of Syntactic Parameters, 19th International Conference on Computational Linguistics and Intelligent Text Processing, CICLing 2018, March 18 to 24, 2018, Hanoi, Vietnam. |
ru_RU |
dc.identifier.uri |
https://repository.kpfu.ru/?p_id=181734 |
ru_RU |
dc.description.abstract |
19th International Conference on Computational Linguistics and Intelligent Text Processing, CICLing 2018, March 18 to 24, 2018, Hanoi, Vietnam. |
ru_RU |
dc.description.abstract |
Abstract. Providing students with academic materials of steadily in- creasing complexity is equally critical for textbook publishers, teachers, and test developers and automation of text complexity assessment is relevant in a number of areas. The research suggests that the existing automated analyzers of Russian texts have two main limitations: (1) a narrow range of variables which include nothing but word length, sen- tence length and word frequency; (2) the constants of Russian readability formulas once calculated for fiction texts are being applied to texts of different types and genre. The authors propose an innovative approach addressing limitations of Russian text complexity tools. The authors orig- inal algorithm of designing a predictive model of text complexity is based on a training text corpus and a set of syntactic features. The syntactic features calculated by means of ETAP, a system is based on a detailed description of Russian grammar. A linear model for text complexit |
ru_RU |
dc.language.iso |
ru |
ru_RU |
dc.subject |
complexity |
ru_RU |
dc.subject |
textbook |
ru_RU |
dc.subject |
syntactic features |
ru_RU |
dc.title |
Complexity of Russian Academic Texts as the Function of Syntactic Parameters |
ru_RU |
dc.type |
Статьи в зарубежных журналах и сборниках |
ru_RU |
|