The article focuses on the developement of a stemmer for Pymystem morphological analyser. Theoretical justification for morphological analysis selection as a high-priority task of linguistic text analysis is given. The state-of-art analysers are described, their strengths and shortcomings are highlighted. The authors propose a core algorithm for nested structures splitting into structured class hierarchy. A method for selected parts of speech key features retrieval using regular expression and Python is defined. The main steps of the hierarchy creation algorithm are examined and documented. The researchers analyse core results of the study and describe their findings alongside with propositions for further developement of the presented software.

Keywords: stemmer, morphological analyzer, class tree, regular expression, text analysis, computational linguistics, lemma, token, word-formation, class hierarchy

The problem of representation of the structure of the domain, which could be used in automatic summarization is described in this paper. As a solution to this problem, the authors propose to use a denotat-based text analysis technique , developed by A.I. Novikov and his school (Institute of Linguistics). This technique was the basis of the proposed infological model that makes it possible to view the structure of a particular subject area, and ultimately the creation of a system of automatic summarization.

Keywords: denotation, abstracting, understanding infological model, neural network, text comprehension, semantic clotting

The article deals with an experimental study of computer representation of the structure of the domain, which can be used in the automatic summarization. As a theoretical basis for the study psycholinguistic theory of AI Novikov was selected. The denotative text analysis technique which allows to explicate text's meaning in a graph structure was tested. The use of this technique allowed the authors to create a computational model for the automatic construction of graphs that reflect the contents of the natural text.

Keywords: denotation, computing experiment, abstracting, understanding infological model, understanding of the text, meaning clotting

This paper considers the problem of constructing the architecture of the mobile training complex of the  loading/unloading machine, which includes a crane and crane control. The work was supported by the Russian Ministry of Education (contract № 13.G25.31.0093) as part of the RF Government Regulation № 218 "On measures of state support for the development of cooperation of Russian higher education institutions and organizations implementing complex projects on high-tech production"

Keywords: Computer training complex, architecture, control, crane