Abstract
This article discusses methods of automatic translation by analogy. Each dictionary entry in the online dictionary contains a certain number of examples highlighting the use of this lexeme in different contexts. The purpose of this study is to find an example from an online dictionary that most fully conveys the meaning of a word in a particular context. Based on the fact that natural language sentences can be represented as graphs, the author considers several methods based on set theory, graph theory and linear algebra to compare sentences in order to find the closest example in meaning. In addition to purely formal comparison methods based on syntax, the author presents methods for analyzing sentences based on the semantics of their components. The balance between syntactic and semantic structure when comparing sentences gives the best result for finding the correct meaning of the predicate, which ensures an adequate transfer of the idea of the sentence during translation.
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