KFU. Card publication. Computing Russian Morphological Distribution Patterns Using RusAC Online Server

KAZAN
FEDERAL UNIVERSITY

- RUS
- 中文
- ES

COMPUTING RUSSIAN MORPHOLOGICAL DISTRIBUTION PATTERNS USING RUSAC ONLINE SERVER

Form of presentation

Conference proceedings in international journals and collections

Year of publication

2021

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Authors, employees of KFU

Gatiyatullina Galiya Maratovna, author

Danilov Andrey Vladimirovich, author

Martynova Ekaterina Vladimirovna, author

Solnyshkina Marina Ivanovna, author

Solovev Valeriy Dmitrievich, author

Yarmakeev Iskander Engelevich, author

Bibliographic description in the original language

Computing Russian Morphological Distribution Patterns Using RusAC Online Server/Galiya Gatiyatullina, Marina Solnyshkina, Valery Solovyev, Andrey Danilov, Ekaterina Martynova, Iskander Yarmakeev// 13th International Conference on Developments in eSystems Engineering, 14-17 December, 2020.-Liverpool, UK.

Annotation

13th International Conference on Developments in eSystems Engineering (December 2020)

Keywords

corpus linguistics, types of texts, genres, academic register, text complexity, morphological distribution, distribution patterns

The name of the journal

13th International Conference on Developments in eSystems Engineering (December 2020)

URL

https://dese.org.uk/wp-content/uploads/DeSE-2020-ProgrameFinalv2.pdf

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

https://repository.kpfu.ru/eng/?p_id=247312&p_lang=2

Resource files

File name	Size (MB)	Format
F_CertificateOfAppreciation___Galiya_Maratovna_Gatiyatullina.pdf	0,70	pdf	show / download

Full metadata record

Field DC	Value	Language
dc.contributor.author	Gatiyatullina Galiya Maratovna	ru_RU
dc.contributor.author	Danilov Andrey Vladimirovich	ru_RU
dc.contributor.author	Martynova Ekaterina Vladimirovna	ru_RU
dc.contributor.author	Solnyshkina Marina Ivanovna	ru_RU
dc.contributor.author	Solovev Valeriy Dmitrievich	ru_RU
dc.contributor.author	Yarmakeev Iskander Engelevich	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	Computing Russian Morphological Distribution Patterns Using RusAC Online Server/Galiya Gatiyatullina, Marina Solnyshkina, Valery Solovyev, Andrey Danilov, Ekaterina Martynova, Iskander Yarmakeev// 13th International Conference on Developments in eSystems Engineering, 14-17 December, 2020.-Liverpool, UK.	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/eng/?p_id=247312&p_lang=2	ru_RU
dc.description.abstract	13th International Conference on Developments in eSystems Engineering (December 2020)	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	Conference proceedings in international journals and collections	ru_RU