Structure of a Pragmatically-Oriented Model of an Agglutinative Natural Language Exemplified with Tatar

The accomplished system analysis of the problem of natural language (NL) modeling has made it possible to formulate the root cause of the low efficiency of modern tools to accumulate and process knowledge in such languages. This is complexity of intellectualization of such tools created on the basis of primitive artificial programming languages that practically represent a subset of inflectional-analytical languages or artificial structures based on them. To reduce severity of the identified problem, it is proposed to build systems for modeling NLs based on technological means for verbalization and meaning recognition, which consist of semiotic models of lexical and grammatical features of the NLs. This approach seems to be especially promising for agglutinative languages; it is supposed to be implemented with using Tatar language as an example due to fair experience of authors in investigating this language.