Research Direction and Objectives: development of methodology and tools for automated linguistic analysis of natural language texts.
The significance of our research findings/ Our research findings can allow you to:
- use the findings in business and commercialize them in business analytics
- to operate with big data, which is one of the end-to-end technologies in the Russian Federation Digital Economy Program.
- promote more individualized and personalized teaching process.
Our project partners are:
Institute for Information Transmission Problems, Russian Academy of Sciences (Moscow)
SoLET Laboratory (The Science of Learning and Educational Technology), University of Arizona, USA.
Polytechnic University, Bucharest, Romania
Databases
The database contains school textbooks for grades 5-11 on Social Studies by A.F. Nikitin and L.N. Bogolyubov. The file names in text format contain the class number and the first letters of the author's surname. To avoid copyright infringement, sentences from the textbook are shuffled and arranged in random order.
When using the database, please refer to the article in which it was first described: V. Solovyev, V. Ivanov, and M. Solnyshkina. Assessment of reading difficulty levels in Russian academic texts: Approaches and metrics. Journal of Intelligent & Fuzzy Systems, 34(5):3049–3058, 2018.
1. Frequency dictionaries of textbooks 1-4 grades.xlsx
2. Textbooks on Social Studies.zip
4. Corpus of Russian EFL textbooks (CORET).7z
6. Applications to the article "Asymmetry of discourse markers in original and translated texts (based on PIRLS texts)"