Assessing text complexity using the RuLingva linguistic lnalyzer: The case of Russian folk song lyrics
https://doi.org/10.25587/2587-5604-2026-1-45-58
Abstract
The objective of the study was to demonstrate the capabilities of the RuLingva platform for selecting and modifying texts for teaching Russian as a foreign language (RFL) using Russian folk songs as an example. The study included 107 Russian folk songs, comprising 10,517 word forms. The study included the following algorithms: collecting research material and ranking songs by thematic cycles; creating a corpus of Russian folk songs; determining the FRGL readability index, the TTR lexical diversity index, the language level according to the Common European Framework of Reference for Languages (CEFR), and the number of occurrences of cultural code units in Russian folk songs. The study revealed that Russian folk songs are presented in the process of teaching RFL as an original educational text, a fact of foreign language culture, suitable for educational communication and possessing a symbolic function. The RuLingva linguistic analyzer allows one to determine the complexity of a text and its correspondence to the level of knowledge of students, as well as to optimize teaching materials for specific groups of students and provides an assessment of progress in the form of developed tests for assessing vocabulary. This program can be useful for teachers and developers of assessment and measurement materials (AMMs) and is applicable to Russian-language educational texts.
About the Authors
M. B. Kazachkova
Odintsovo Branch, Moscow State Institute of International Relations (University)
Russian Federation
Russian Federation
KAZACHKOVA Maria Borisovna – Cand. Sci. (Philology), Associate Professor, Department of the English Language
Scopus ID: 57216807031
Researcher ID: G-7529-2018
Odintsovo
Kh. N. Galimova
V. G. Timiryasov Kazan Innovative University
Russian Federation
Russian Federation
GALIMOVA Khalida Nurislamovna – Cand. Sci. (Philology), Associate Professor. Department of Foreign Languages and Translation
Kazan
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Review
For citations:
Kazachkova M.B., Galimova Kh.N. Assessing text complexity using the RuLingva linguistic lnalyzer: The case of Russian folk song lyrics. Vestnik of North-Eastern Federal University. Pedagogics. Psychology. Philosophy. 2026;(1):45-58. (In Russ.) https://doi.org/10.25587/2587-5604-2026-1-45-58
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