Creating a parser to handle texts in the construction field on the basis of graph theory and vector algebra.

The paper presents a study in which the author continues to develop PC software for the translation system to translate specialized texts from English into Russian and vice versa in the construction area. The basis for automatic analysis of a sentence and representation of its structure is graph theory. At the first stage, the sentence is represented by a linear graph. The article discusses ways of assigning features to each word in accordance with its belonging to different parts of speech for their subsequent processing by means of graph convolutional neural networks (GCN). The initial features of each element of the sentence are compared with obtained values , and using certain parameters for the compiled vectors, they are classified as parts of speech. The paper includes parts of the software program for the computer implementation of the proposed machine translation technology. [ABSTRACT FROM AUTHOR]