KFU. Card publication. Computing Descriptive Metrics and Propositions in Reading Texts and Recalls

KAZAN
FEDERAL UNIVERSITY

- RUS
- 中文
- ES

COMPUTING DES&SHY;CRIPTIVE METRICS AND PROPOSITIONS IN READING TEXTS AND RECALLS

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

Solnyshkina Marina Ivanovna, author

Solovev Valeriy Dmitrievich, author

Bibliographic description in the original language

Mariia Andreeva, Marina Solnyshkina, Valery Solovyev, Artem Zaikin, Olga Bukach. Computing Descriptive Metrics and Propositions in Reading Texts and Recalls //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. 32-42

Annotation

This study addresses the problem of computational techniques to perform a multi-factor text analysis aimed at assessing text metrics and the amount of information in two contrasting texts. Assessing recalls in general and estimating the scope of information reproduced in recalls in particular are equally challenging. We introduce a computational linguistic tool that measures 28 linguistic parameters enabling conventional level of language assessment

Keywords

Qualitative Analysis, Descriptive Metrics, Cohesion, Multi-factor Text Analysis.

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=244694&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	Solnyshkina Marina Ivanovna	ru_RU
dc.contributor.author	Solovev Valeriy Dmitrievich	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, Valery Solovyev, Artem Zaikin, Olga Bukach. Computing Descriptive Metrics and Propositions in Reading Texts and Recalls //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. 32-42	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/eng/?p_id=244694&p_lang=2	ru_RU
dc.description.abstract	CEUR Workshop Proceedings	ru_RU
dc.description.abstract	This study addresses the problem of computational techniques to perform a multi-factor text analysis aimed at assessing text metrics and the amount of information in two contrasting texts. Assessing recalls in general and estimating the scope of information reproduced in recalls in particular are equally challenging. We introduce a computational linguistic tool that measures 28 linguistic parameters enabling conventional level of language assessment	ru_RU
dc.language.iso	ru	ru_RU
dc.subject	Qualitative Analysis	ru_RU
dc.subject	Descriptive Metrics	ru_RU
dc.subject	Cohesion	ru_RU
dc.subject	Multi-factor Text Analysis.	ru_RU
dc.title	Computing Descriptive Metrics and Propositions in Reading Texts and Recalls	ru_RU
dc.type	Articles in international journals and collections	ru_RU