Interlanguage corpus as an open resource for the creation of a data bank of interferents

The article is devoted to describing the creation of a national corpus of Russian language interferents in the speech of non-native speakers. The aim of the article is to elaborate on and describe methods for creating a national corpus, which is currently necessary for use in linguodidactics, linguistics, and artificial intelligence. The study material was a card index of errors recorded at all linguistic levels. The methodology is based on comparative, contrastive, and confrontational analyses, using a convergent-divergent approach. The study results help to understand the specifics and approaches to solving the problem of creating a national corpus of interferents that occur in the Russian speech of non-native speakers, which will aid in controlling interference in linguodidactics. The authors conclude that the cluster method effectively identifies and describes the functioning units of the interlanguage system, including the types and kinds of interferents, their frequency, causes of occurrence, and examples of violations in pairs of contact languages. The method provides a solid foundation for the creation of a national corpus of interlanguages.