Cognitive potential of agglutinative languages in intelligent technologies

This article describes an approach to development of new intelligent technologies based on the study of cognitive potential and semiotic modeling of lexical and grammatical structures of agglutinative languages (using the Tatar language as an example). A classification of cognitive lexical grammatical structures that determine the information technological effectiveness of a language is proposed. Specific examples show the relevant capabilities of the Tatar language for compact representation of knowledge, operating with fuzzy information, revealing such important properties as regularity, natural and constructive complexity, recursion, deep morphological ellipsis, functional diversity and semantic multivalence of affixes. The proposed approach, based on semiotic models of agglutinative language and the use of technological means of verbalization and contextual recognition of language meanings, can provide effective solutions for creating intelligent tools for accumulating and processing knowledge. Work in this direction creates the prospect of building a cognitive-communicative artificial intelligence system based on a universal language of communication between artificial intelligence systems as well as with humans.