Textometer helps to determine the level of Russian text complexity and calculate other essential characteristics for readers. It can calculate readability indices, analyze the level of text complexity for Russian L2 learners both on the CEFR and ACTFL scales, check the CEFR level of every given word, calculate the number of words and characters, find the keywords of the text, calculate the coefficient of lexical diversity of the text, get a frequency word list from the text, estimate the reading time depending on the task.
Text complexity assessment is based on the ML Ridge regression model trained on a corpus of 800 texts from textbooks of Russian as a foreign language and a wide set of linguistic features.
Text complexity level in terms of ACTFL is met using the CEFR and ACTFL correspondence table in the receptive skills section.
When referring to a resource, we ask you to cite this work:
Laposhina А.N., Veselovskaya Т.S., Lebedeva M.U. and Kupreshchenko O. F. (2018) Automated Text Readability Assessment For Russian Second Language Learners. In Computational Linguistics and Intellectual Technologies: Proceedings of the International Conference "Dialogue 2018". Issue 17 (24), Moscow, 396-406.
More posts about the program:
Laposhina A.N., Lebedeva M.Y. Textometr: an online tool for automated complexity level assessment of texts for Russian language learners // Russian Language Studies. - 2021. - Vol. 19. - N. 3. - P. 331-345. doi: 10.22363/2618-8163-2021-19-3-331-345