Autores
Batyrshin Ildar
Título Prediction of reading difficulty in Russian academic texts
Tipo Revista
Sub-tipo JCR
Descripción Journal of Intelligent & Fuzzy Systems
Resumen Education policy makers view measuring academic texts readability and profiling classroom textbooks as a primary task of education management aimed at sustaining quality of reading programs. As Russian readability metrics, i.e. "objective" features of texts determining its complexity for readers, are still a research niche, we undertook a comparative analysis of academic texts features exemplified in textbooks on Social Science and examination texts of Russian as a foreign language. Experiments for 7 classifiers and 4 methods of linear regression on Russian Readability corpus demonstrated that ranking textbooks for native speakers is a much more difficult task than ranking examination texts written (or designed) for foreign students. The authors see a possible reason for this in differences between two processes: Acquiring a native language on the one hand and learning a foreign language on the other. The results of the current study are extremely relevant in modern Russia which is joining the Bologna Process and needs to provide profiled texts for all types of learners and testees. Based on a qualitative and quantitative analysis of a text, the research offers a guide for education managers to help build consensus on selecting a reading material when educators have differing views.
Observaciones DOI 10.3233/JIFS-179007
Lugar Amsterdam
País Paises Bajos
No. de páginas 4553-4563
Vol. / Cap. v. 36 no. 5
Inicio 2019-05-14
Fin
ISBN/ISSN