Cognitive-pragmatic Characteristics of the Language of Scientific and Academic Discourse of Group-theoretic Statistical Reconstructive Diagnostics

In recent years, functionalism has been widely adopted in linguistics, which is based on a methodological approach to the study of complex, systemically organized integral objects, all elements of which perform coordinated functions, the meaning of which is determined by the considered system as a whole. The functionalist approach makes it possible to explore linguistic, cultural and psychological aspects at the interdisciplinary level, removing barriers between the Humanities and natural Sciences. One of the main categories in function-alism is the concept of discourse, which is one of the key problems not only in theoretical research, but also in linguodidactics. Within the framework of our article the scientific and academic discourse is considered as a complex communicative and cognitive phenomenon in relation to the problems of deconstructive diagnostics. The methodological basis of the study is a cognitive-discursive approach to the transfer of scientific information and to teaching the basics of reconstructive diagnostics. In our article, we understand discourse as a text considered taking into account extralinguistic, prognostic sociocultural and special scientific and technical factors important for academic discourse. To describe the language of scientific discourse, the article considers the features of scientific and academic speech and scientific text. Characteristic of the scientific style is understandable for the addressee presentation of knowledge acquired in the field of scientific activity. However, to realize this characteristic feature of the transfer of scientific knowledge, it is necessary to create a "resonance" (sameness) of the perception of the information of the author of the scientific message and the addressee for whom this message was intended. For the formation of such a "resonance" it is necessary to create conditions, some conceptual interaction. These include accessible, translated ANAS ordinary colloquial speech expounded by the author and perceived by the recipient of scientific provisions. The article presents a critical analysis of the conceptual apparatus of reconstructive computational diagnostics developed on the basis of a group-theoretic statistical approach to solving inverse reconstructive problems. The most important aspects of its methods, their main advantages, as well as features of its interaction with traditional lines of mathematics development are considered. The group-theoretic unification of problems in combination with a high degree of statistical support for the solution allows to confidently carry out semantic filtering together with reconstruction. to distinguish from the semantic spectrum of the object under study a variety of semantic structures (if they are present in it). The expansion of the scope of application of the methods of group-theoretic statistical reconstruction has led to the need to establish a full-fledged communication of scientists and specialists from different professional groups with their jargon, traditions, personal preferences and, as a consequence, to the need to clear the categorical foundations of language in the emerging multidisciplinary field of particulars and layers. In this article, it is solved in the "minimum version". More specifically-from the selection of the most important terms for this range of disciplines formed a brief modern "Glossary". Considerable attention is paid to the problems of optimization of human-machine interaction. In our time of unprecedented convergence of mathematical and "humanitarian" Sciences semantic barriers are broken and bridges are built between them. This is especially true of the "bridges" between group theory and "structural methods". It is no exaggeration to say that the "Humanities" owe their most valuable results to a systemic and structural approach to their problems. However, the same can be said about Science in General.

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