Distortion in Screening and Spatial Preferences

Abstract

This article describes ways to use original texts in the National Russian Corpus as well as news texts for teaching Russian as a foreign language. Two-year work of a scientific group of Higher School of Economics (Nizhny Novgorod-Moscow), which is called CorpLings is analyzed. Special attention is paid to the basic principles of research part of the project – automatic adaptation of acute news texts. We also describe ways to simplify structures, which seem difficult for students at the elementary level, from the point of view of their syntactic and morphological structure. Stages, needed for lexical simplification are described in detail. Among them there are creation of an algorithm to find the most appropriate synonyms, based on morphological rules, and analysis of a statistical model of contextual proximity of words. The article also addresses the difficulties faced by developers and the final result of research.

Keywords: Russian language, electronic textbook, text simplification, contextual proximity, distributional semantic model

JEL Classification: D42, D82, L10, L12, L40.