1.  Complexity of the text in Russian and English political documents: UN texts (ВАК)

 Our study examined the complexity of Russian and English political documents, more specifically the texts of the United Nations. The purpose of the study was to make an attempt to determine the complexity of Russian and English UN texts using two parameters – lexical density and lexical diversity (TTR).  The findings showed that lexical density of Russian UN texts varied between 67 and 71, which implies that Russian UN texts are higher than English UN texts in terms of lexical density; that is, lexical density of English UN texts varied between 38.97% and 45.09%, which indicates that the texts are less informative and therefore may impact complexity.

2. Comparative study of Russian UN texts (ВАК)

Our research is aimed at building a lexical typology of Russian UN texts by defining the range of metrics of a set of parameters i.e., Flesh-Kincaid Grade Level (FKGL), lexical density, lexical diversity (TTR) and Legal terms incidence. The findings indicate that the texts are both lexically dense and diverse: with lexical density varying from 67 to 74 and TTR ranging from 0.56 to 0.62. Thus, they demonstrate a high degree of correlation with FKGL. A typical Russian UN text contains about 66 legal terms, which shows that 7 texts out 8 contain legal terms incidence varying from 66 to 73. We conclude that the range of metrics of the four parameters selected above could serve as predictors in determining complexity in Russian UN texts thus confirming Ure’s views (1971). The results can be of interest to educators, and researchers of text complexity and translation studies.

3. A comparative study of textbooks on social studies and Russian UN texts (ВАК)

In this research we analyzed a 60.000 word-based corpus represented by Russian UN texts and four (4) sets of school textbooks (6th grades and 9th grades) on social studies written by [2, p. 63-88] and [10,P.240]. The purpose of the research was to discover the correlation between the documents of the United Nations and the textbooks on social studies by Nikitin and Bogolubov. To meet our target, we used Rulingva, a computational tool available online, to analyze the data by selecting Flesch Kincaid Grade Level, Lexical density, and lexical diversity (TTR). The findings revealed that the 6th grades run in parallel with the 9th grades in terms of readability (FKGL); the texts varied between 7.95 and 9.37.

4. " ENGLISH FOR IT STUDENTS " _Textbook

The textbook was designed to help IT (Information Technology) students overcome the challenges they face in learning English.  We created interactive topics related to information technology to help students maintain the status quo. As such, all the texts are extracted from scientific articles and refer to their spezialization.