The analysis of text complexity parameters from the perspective of different writing styles (based on PET and OGE corpora)
https://doi.org/10.26907/2074-0239-2022-67-1-39-46
Abstract
The article presents results of the multiple factor analysis of 117 OGE (Basic State Examination) texts and 83 texts of Cambridge PET and considers the correlation of the Flash-Kincaid readability index, narrativity, lexical diversity (MTLD) and text complexity in different text types. The evaluation of text complexity parameters was conducted with the help of the online service TextInspector. The study confirms the correlation of the above-mentioned parameters with text complexity. The research indicates that the Flash-Kincaid readability index, narrativity and lexical diversity are lower in OGE texts. Thus, OGE texts are less complex than PET texts. The range of metrics of FKGL, narrativity and MTLD in PET is far more narrow, which indicates the core of typological metrics. The style of texts has a direct influence on their complexity. According to the data, publicistic texts are the most complex and popular science texts are the least. The results of the research can be used by test developers, researchers, educational organizations and teachers.
About the Authors
M. Begaeva
Kazan Federal University; “Text Analytics” Laboratory
Russian Federation
Russian Federation
Maria Nikolaevna Begaeva, graduate student, research assistant
420008
18 Kremlyovskaya Str.
Kazan
D. Gizatulina
Kazan Federal University; SESC "IT Lyceum KFU"
Russian Federation
Russian Federation
Diana Yuryevna Gizatulina, graduate student
420008
18 Kremlyovskaya Str.
Kazan
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Review
For citations:
Begaeva M., Gizatulina D. The analysis of text complexity parameters from the perspective of different writing styles (based on PET and OGE corpora). Philology and Culture. 2022;(1):39-46. (In Russ.) https://doi.org/10.26907/2074-0239-2022-67-1-39-46
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