КФУ. Карточка публикации. Polysemy as a Complexity Predictor in school textbooks

КАЗАНСКИЙ
ФЕДЕРАЛЬНЫЙ УНИВЕРСИТЕТ

RUS

- EN
- 中文
- ES

POLYSEMY AS A COMPLEXITY PREDICTOR IN SCHOOL TEXTBOOKS

Форма представления

Статьи в зарубежных журналах и сборниках

Год публикации

2023

Язык

английский

Авторы, сотрудники КФУ

Данилов Андрей Владимирович, автор

Шарифуллина Эльвира Альбертовна, автор

Библиографическое описание на языке оригинала

Danilov A.V, Nuretdinova Z, Miftakhutdinov Z, Polysemy as a Complexity Predictor in school textbooks//Proceedings - International Conference on Developments in eSystems Engineering, DeSE. - 2023. - Vol., Is.. - P.721-725.

Аннотация

This article presents an algorithm for assessing text readability based on the analysis of polysemous words. The algorithm was tested on 30 Russian language textbooks for different grade levels, with the total size of the corpus of 1,097,170 words. We estimated values of two complexity predictors, i.e. the number of polysemous words (p1) and number of unique word senses (p2). The research demonstrated a high positive correlation between the respective parameters and text grade levels. The proposed algorithm has a potential to be applied in numerous fields that require text readability assessment and include education, law, medicine and business. The research prospects include validating the algorithm in other languages and text types, as well as contrast it with other text readability assessment algorithms.

Ключевые слова

text readability assessment, polysemous words, Russian language textbooks, correlation analysis, Spearman's coefficient, educational goals, text readability, NLTK, RuWordNet, text analysis, linguistics, computer science

Название журнала

Proceedings - International Conference on Developments in eSystems Engineering, DeSE

URL

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85189304105&doi=10.1109%2fDeSE60595.2023.10468765&partnerID=40&md5=9ba7d5ef1bc3aa1b787288f8c29cee36

Пожалуйста, используйте этот идентификатор, чтобы цитировать или ссылаться на эту карточку

https://repository.kpfu.ru/?p_id=299492

Полная запись метаданных

Поле DC	Значение	Язык
dc.contributor.author	Данилов Андрей Владимирович	ru_RU
dc.contributor.author	Шарифуллина Эльвира Альбертовна	ru_RU
dc.date.accessioned	2023-01-01T00:00:00Z	ru_RU
dc.date.available	2023-01-01T00:00:00Z	ru_RU
dc.date.issued	2023	ru_RU
dc.identifier.citation	Danilov A.V, Nuretdinova Z, Miftakhutdinov Z, Polysemy as a Complexity Predictor in school textbooks//Proceedings - International Conference on Developments in eSystems Engineering, DeSE. - 2023. - Vol., Is.. - P.721-725.	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/?p_id=299492	ru_RU
dc.description.abstract	Proceedings - International Conference on Developments in eSystems Engineering, DeSE	ru_RU
dc.description.abstract	This article presents an algorithm for assessing text readability based on the analysis of polysemous words. The algorithm was tested on 30 Russian language textbooks for different grade levels, with the total size of the corpus of 1,097,170 words. We estimated values of two complexity predictors, i.e. the number of polysemous words (p1) and number of unique word senses (p2). The research demonstrated a high positive correlation between the respective parameters and text grade levels. The proposed algorithm has a potential to be applied in numerous fields that require text readability assessment and include education, law, medicine and business. The research prospects include validating the algorithm in other languages and text types, as well as contrast it with other text readability assessment algorithms.	ru_RU
dc.language.iso	ru	ru_RU
dc.subject	text readability assessment	ru_RU
dc.subject	polysemous words	ru_RU
dc.subject	Russian language textbooks	ru_RU
dc.subject	correlation analysis	ru_RU
dc.subject	Spearman's coefficient	ru_RU
dc.subject	educational goals	ru_RU
dc.subject	text readability	ru_RU
dc.subject	NLTK	ru_RU
dc.subject	RuWordNet	ru_RU
dc.subject	text analysis	ru_RU
dc.subject	linguistics	ru_RU
dc.subject	computer science	ru_RU
dc.title	Polysemy as a Complexity Predictor in school textbooks	ru_RU
dc.type	Статьи в зарубежных журналах и сборниках	ru_RU