KFU. Card publication. Assessment of Comparative Abstractness: Quantitative Approach

KAZAN
FEDERAL UNIVERSITY

- RUS
- 中文
- ES

ASSESSMENT OF COMPARATIVE ABSTRACTNESS: QUANTITATIVE APPROACH

Form of presentation

Articles in international journals and collections

Year of publication

2020

Язык

русский

Authors, employees of KFU

Andreeva Mariya Igorevna, author

Bukach Olga Vladislavovna, author

Zaikin Artem Aleksandrovich, author

Zamaletdinov Radif Rifkatovich, author

Solnyshkina Marina Ivanovna, author

Bibliographic description in the original language

Mariia Andreeva, Marina Solnyshkina, Artem Zaikin, Olga Bukach, Radif Zamaletdinov. Assessment of Comparative Abstractness: Quantitative Approach // //Proceedings of the Computational Models in Language and Speech Workshop (CMLS 2020) co-located with 16th International Conference on Computational and Cognitive Linguistics (TEL 2020). - 2020. - S. 132-144

Annotation

. Estimation of abstractness ratings of Russian words have remained almost entirely unexplored, though by contrast, a vast literature has addressed questions relating to the same notion in English.

Keywords

Quantitative Assessment, Abstract and Concrete Nouns, Experimental Study, Polysemous Words.

The name of the journal

CEUR Workshop Proceedings

URL

http://ceur-ws.org/Vol-2780/

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

https://repository.kpfu.ru/eng/?p_id=244695&p_lang=2

Full metadata record

Field DC	Value	Language
dc.contributor.author	Andreeva Mariya Igorevna	ru_RU
dc.contributor.author	Bukach Olga Vladislavovna	ru_RU
dc.contributor.author	Zaikin Artem Aleksandrovich	ru_RU
dc.contributor.author	Zamaletdinov Radif Rifkatovich	ru_RU
dc.contributor.author	Solnyshkina Marina Ivanovna	ru_RU
dc.date.accessioned	2020-01-01T00:00:00Z	ru_RU
dc.date.available	2020-01-01T00:00:00Z	ru_RU
dc.date.issued	2020	ru_RU
dc.identifier.citation	Mariia Andreeva, Marina Solnyshkina, Artem Zaikin, Olga Bukach, Radif Zamaletdinov. Assessment of Comparative Abstractness: Quantitative Approach // //Proceedings of the Computational Models in Language and Speech Workshop (CMLS 2020) co-located with 16th International Conference on Computational and Cognitive Linguistics (TEL 2020). - 2020. - С. 132-144	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/eng/?p_id=244695&p_lang=2	ru_RU
dc.description.abstract	CEUR Workshop Proceedings	ru_RU
dc.description.abstract	. Estimation of abstractness ratings of Russian words have remained almost entirely unexplored, though by contrast, a vast literature has addressed questions relating to the same notion in English.	ru_RU
dc.language.iso	ru	ru_RU
dc.subject	Quantitative Assessment	ru_RU
dc.subject	Abstract and Concrete Nouns	ru_RU
dc.subject	Experimental Study	ru_RU
dc.subject	Polysemous Words.	ru_RU
dc.title	Assessment of Comparative Abstractness: Quantitative Approach	ru_RU
dc.type	Articles in international journals and collections	ru_RU