| Форма представления | Статьи в зарубежных журналах и сборниках |
| Год публикации | 2021 |
| Язык | английский |
|
Гатиятуллина Галия Маратовна, автор
Данилов Андрей Владимирович, автор
Мартынова Екатерина Владимировна, автор
Солнышкина Марина Ивановна, автор
Соловьев Валерий Дмитриевич, автор
Ярмакеев Искандер Энгелевич, автор
|
| Библиографическое описание на языке оригинала |
Gatiyatullina G. Computing Russian Morphological distribution patterns using RusAC Online Server / G. Gatiyatullina, M. Solnyshkina, V. Solovyev, A. Danilov, E. Martynova and I. Yarmakeev // 2020 13th International Conference on Developments in eSystems Engineering (DeSE). - 2020. P. 393-398, doi: 10.1109/DeSE51703.2020.9450753. |
| Аннотация |
2020 13th International Conference on Developments in eSystems Engineering (DeSE), Liverpool, UK |
| Ключевые слова |
corpus linguistics, types of texts, genres, academic register, text complexity, morphological distribution, distribution patterns |
| Название журнала |
2020 13th International Conference on Developments in eSystems Engineering (DeSE), Liverpool, UK
|
| Ссылка для РПД |
http://dspace.kpfu.ru/xmlui/bitstream/handle/net/163857/vc_Kazan_sokr.pdf?sequence=2&isAllowed=y
|
| URL |
https://ieeexplore.ieee.org/document/9450753 |
| Пожалуйста, используйте этот идентификатор, чтобы цитировать или ссылаться на эту карточку |
https://repository.kpfu.ru/?p_id=254298 |
| Файлы ресурса | |
|
|
Полная запись метаданных  |
| Поле DC |
Значение |
Язык |
| dc.contributor.author |
Гатиятуллина Галия Маратовна |
ru_RU |
| dc.contributor.author |
Данилов Андрей Владимирович |
ru_RU |
| dc.contributor.author |
Мартынова Екатерина Владимировна |
ru_RU |
| dc.contributor.author |
Солнышкина Марина Ивановна |
ru_RU |
| dc.contributor.author |
Соловьев Валерий Дмитриевич |
ru_RU |
| dc.contributor.author |
Ярмакеев Искандер Энгелевич |
ru_RU |
| dc.date.accessioned |
2021-01-01T00:00:00Z |
ru_RU |
| dc.date.available |
2021-01-01T00:00:00Z |
ru_RU |
| dc.date.issued |
2021 |
ru_RU |
| dc.identifier.citation |
Gatiyatullina G. Computing Russian Morphological distribution patterns using RusAC Online Server / G. Gatiyatullina, M. Solnyshkina, V. Solovyev, A. Danilov, E. Martynova and I. Yarmakeev // 2020 13th International Conference on Developments in eSystems Engineering (DeSE). - 2020. P. 393-398, doi: 10.1109/DeSE51703.2020.9450753. |
ru_RU |
| dc.identifier.uri |
https://repository.kpfu.ru/?p_id=254298 |
ru_RU |
| dc.description.abstract |
2020 13th International Conference on Developments in eSystems Engineering (DeSE), Liverpool, UK |
ru_RU |
| dc.description.abstract |
The article presents findings of distribution patterns of Russian grammatical categories computed with the help of MyStem.3 tagger and a proprietary Russian language processor, ETAP-3. The corpus of over 1.1 mln tokens compiled for the study comprises two types of academic texts used in Russian schools: Science textbooks and Humanities textbooks. We computed descriptive metrics of each textbooks with the help of the text analyzer RusAC (http://tykau.pythonanywhere.com/) and pursued the contrastive analysis of Science and Humanities classroom textbook features. Significant differences of two types of the texts were found in distribution patterns of noun cases and verbs tenses, while morphological patterns of nouns, adjectives, verbs, adverbs demonstrate similarities. The specifics of grammatical patterns defined for classroom textbooks can be used in further studies on distribution of morphological patterns and text complexity of Russian academic texts |
ru_RU |
| dc.language.iso |
ru |
ru_RU |
| dc.subject |
corpus linguistics |
ru_RU |
| dc.subject |
types of texts |
ru_RU |
| dc.subject |
genres |
ru_RU |
| dc.subject |
academic register |
ru_RU |
| dc.subject |
text complexity |
ru_RU |
| dc.subject |
morphological distribution |
ru_RU |
| dc.subject |
distribution patterns |
ru_RU |
| dc.title |
Computing Russian Morphological distribution patterns using RusAC Online Server |
ru_RU |
| dc.type |
Статьи в зарубежных журналах и сборниках |
ru_RU |
|
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