Lexical diversity as a predictor of complexity in textbooks on the Russian language

The parametric model of the text as a research problem is paramount importance in modern linguistics and education, since it opens up new approaches to understanding processes comprehending texts various types. In current study, 17 Russian language textbooks for elementary school were employed identify correlations between lexical diversity indices other complexity predictors. total volume corpus compiled study 439,938 words. two-stage algorithm included evaluation reference values features at basic level (word length, sentence number unique, non-repeating words word forms), subsequent contrasting predictors, i.e. readability indices. All calculations performed with automatic analyzer RuLingva. revealed positive dynamic no evidence increase across grades. An average vocabulary overlaps every 4th are fixed. No indication correlation found. obtained results can be useful researchers, textbook authors, teachers selecting textbooks. prospects seen implementing functional epidigmatic stratification under study.