| Форма представления | Статьи в зарубежных журналах и сборниках |
| Год публикации | 2020 |
| Язык | русский |
|
Андреева Мария Игоревна, автор
Букач Ольга Владиславовна, автор
Заикин Артем Александрович, автор
Солнышкина Марина Ивановна, автор
Соловьев Валерий Дмитриевич, автор
|
| Библиографическое описание на языке оригинала |
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 |
| Аннотация |
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 |
| Ключевые слова |
Qualitative Analysis, Descriptive Metrics, Cohesion, Multi-factor
Text Analysis. |
| Название журнала |
CEUR Workshop Proceedings
|
| URL |
http://ceur-ws.org/Vol-2780/ |
| Пожалуйста, используйте этот идентификатор, чтобы цитировать или ссылаться на эту карточку |
https://repository.kpfu.ru/?p_id=244694 |
Полная запись метаданных  |
| Поле DC |
Значение |
Язык |
| dc.contributor.author |
Андреева Мария Игоревна |
ru_RU |
| dc.contributor.author |
Букач Ольга Владиславовна |
ru_RU |
| dc.contributor.author |
Заикин Артем Александрович |
ru_RU |
| dc.contributor.author |
Солнышкина Марина Ивановна |
ru_RU |
| dc.contributor.author |
Соловьев Валерий Дмитриевич |
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/?p_id=244694 |
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 |
Статьи в зарубежных журналах и сборниках |
ru_RU |
|
EN 
中文 
ES 
Карта сайта
