1. DuBay, W.: Smart Language. Readers, Readability, and the Grading of Text. Impact Information, Costa Mesa, California (2007)
2. Deutsch, T., et al.: Linguistic features for readability assessment. In: Proceedings of the Fifteenth Workshop on Innovative Use of NLP for Building Educational Applications, pp. 1–17. Association for Computational Linguistics, Seattle (2020)
3. Batinić, D., et al.: Creating an extensible, levelled study corpus of Russian. In: Proceedings of the 13th Conference on Natural Language Processing (KONVENS), Bochum, Germany September, pp. 38–43. Ruhr-Universität, Bochum (2017)
4. Azpiazu, I.M., Pera, M.S.: Multiattentive recurrent neural network architecture for multilingual readability assessment. Trans. Assoc. Comput. Ling. 7, 421–436 (2019)
5. Rysová, K., et al.: Introducing EVALD - software applications for automatic evaluation of discourse in Czech. In: RANLP Proceedings, Bulgaria, pp. 634–641 (2017)