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Metadata (abstracts and keywords) for the articles in the journal

A. I. Gabitov, L. Kh. Gabitova, L. Kh. Shayakhmetova ASSESSING COMPLEXITY OF ENGLISH TEXTS BASED ON INDIVIDUAL GRAMMATICAL ELEMENTS WITH THE USE OF READABILITY FORMULAE // I. YAKOVLEV CHUVASH STATE PEDAGOGICAL UNIVERSITY BULLETIN. 2023. № 4(121). p. 47-53
Author(s):A. I. Gabitov, L. Kh. Gabitova, L. Kh. Shayakhmetova
Index of UDK:811.111’36’42
Index of DOI:10.37972/chgpu.2023.121.4.006
Name of article:ASSESSING COMPLEXITY OF ENGLISH TEXTS BASED ON INDIVIDUAL GRAMMATICAL ELEMENTS WITH THE USE OF READABILITY FORMULAE
Keywords:

grammatical complexity, contrastive analysis, input processing, text parameters, text complexity

Abstracts:

Modern tools and formulas for assessing the complexity and readability of texts use similar assessment methods based on the analysis of a number of lexical elements. The selection of characteristics and parameters of texts in English language, assessment of their influence on the complexity of texts do not have a generally accepted norm that could be used everywhere. Many factors influencing the complexity of texts are not analyzed, including the complexity of individual grammatical categories. The complexity of lexical units is assessed in isolation from some grammatical characteristics. This problem requires an approach that is different from the usual norm, taking into account the load of grammatical complexity elements on human cognitive abilities, such as memory and attention. There are branches of linguistics that study input processing that support the influence of the grammar of textual materials on complexity. Certain grammatical categories can cause greater difficulty for language learners than others, causing an overload of a person’s limited cognitive resources. In this study, we attempted to create text materials of a certain nature containing grammatical elements of complexity and analyze them using a formula for assessing complexity and readability. The results of the analysis were compared with the results of modified versions with changes in complexity due to grammatical elements. Contrastive text analysis was carried out using a number of formulas for assessing text complexity and readability.

The contact details of authors:

Габитов Азат Ирекович – старший преподаватель кафедры языковой и межкультурной коммуникации Казанского (Приволжского) федерального университета, г. Казань, Россия, https://orcid.org/0000-0002-7995-5795, gabit.azat@gmail.com

Габитова Лилия Хабировна – старший преподаватель кафедры языковой и межкультурной коммуникации Казанского (Приволжского) федерального университета, г. Казань, Россия, https://orcid.org/0000-0002-7738-5901, corbita@list.ru

Шаяхметова Лейсан Хабировна – кандидат филологических наук, доцент кафедры языковой и межкультурной коммуникации Казанского (Приволжского) федерального университета, г. Казань, Россия, https://orcid.org/0000-0003-3166-5219, habirshah@mail.ru

Pages:47-53
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