Форма представления | Статьи в российских журналах и сборниках |
Год публикации | 2023 |
Язык | русский |
|
Гатиятуллина Галия Маратовна, автор
Зиганшина Чулпан Рифовна, автор
Куприянов Роман Владимирович, автор
Солнышкина Марина Ивановна, автор
|
Библиографическое описание на языке оригинала |
Gatiyatullina G. M. Lexical density as a complexity predictor: the case of Science and Social Studies textbooks, Research Result / G. M. Gatiyatullina, M. I. Solnyshkina, R. V. Kupriyanov, C. R. Ziganshina // Theoretical and Applied Linguistics. - 2023. Is. 9 (1). - P. 11-26. DOI: 10.18413/2313-8912-2023-9-1-0-2 |
Аннотация |
Научный результат. Вопросы теоретической и прикладной лингвистики |
Ключевые слова |
Lexical density; Readability; Text complexity; Textbooks; Science;
Social studies
|
Название журнала |
Научный результат. Вопросы теоретической и прикладной лингвистики
|
Ссылка для РПД |
http://dspace.kpfu.ru/xmlui/bitstream/handle/net/175725/F_Lingvistika_9_1_2023_11_26.pdf?sequence=1&isAllowed=y
|
URL |
http://rrlinguistics.ru/media/linguistics/2023/1/%D0%9B%D0%B8%D0%BD%D0%B3%D0%B2%D0%B8%D1%81%D1%82%D0%B8%D0%BA%D0%B0_9_1_2023-11-26.pdf |
Пожалуйста, используйте этот идентификатор, чтобы цитировать или ссылаться на эту карточку |
https://repository.kpfu.ru/?p_id=279162 |
Файлы ресурса | |
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Полная запись метаданных |
Поле DC |
Значение |
Язык |
dc.contributor.author |
Гатиятуллина Галия Маратовна |
ru_RU |
dc.contributor.author |
Зиганшина Чулпан Рифовна |
ru_RU |
dc.contributor.author |
Куприянов Роман Владимирович |
ru_RU |
dc.contributor.author |
Солнышкина Марина Ивановна |
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 |
Gatiyatullina G. M. Lexical density as a complexity predictor: the case of Science and Social Studies textbooks, Research Result / G. M. Gatiyatullina, M. I. Solnyshkina, R. V. Kupriyanov, C. R. Ziganshina // Theoretical and Applied Linguistics. - 2023. Is. 9 (1). - P. 11-26. DOI: 10.18413/2313-8912-2023-9-1-0-2 |
ru_RU |
dc.identifier.uri |
https://repository.kpfu.ru/?p_id=279162 |
ru_RU |
dc.description.abstract |
Научный результат. Вопросы теоретической и прикладной лингвистики |
ru_RU |
dc.description.abstract |
. An ever-increasing need for quality textbooks and objective linguistic
expertise encourages more intensive research into complexity of academic discourse.
The current research focuses on lexical density viewed as an effective complexity
predictor and defined as the ratio of content words per number of words in a text.
Being predominantly quantitative, the study also examines dynamics of Flesh
Kincaid grade levels and ratios of parts of speech across 12 Science and Social
Studies textbooks taught in Grades 7 – 12 of American schools. The analysis shows a
consistent pattern of strong positive growth of nouns and adjectives across grade
levels, while lexical verbal elements slightly decrease across the textbooks. The total
adverb count changes slightly, and its movement vector depends on the discourse: it
rises in Social Studies textbooks and is stable in Science textbooks. This
multidirectional movement of components in Lexical density structure explains its marginal increase across the grades in Science and Social Studies discourse. The
findings indicate discourse sophistication increase realized predominantly in text
nominalization. We also discuss challenges which nominalization presents for
comprehension of academic texts by readers and suggest that provided with reference
values of text complexity features, educators receive a reliable tool to select reading
texts and assess their suitability for target learner groups. The findings can be
beneficial for textbooks authors, exam material developers and discourse researchers.
|
ru_RU |
dc.language.iso |
ru |
ru_RU |
dc.subject |
|
ru_RU |
dc.title |
Text complexity predictors: methods and approaches for assessment |
ru_RU |
dc.type |
Статьи в российских журналах и сборниках |
ru_RU |
|