Abstract
The capabilities of machine translation are closely related to the improvement of modeling the processes of understanding and generating texts in natural language, which traditionally belongs to the class of artificial intelligence problems. The article attempts to analyze the main approaches to the creation of machine translation technologies. It is concluded that these approaches have not yet provide for the formation and use of dynamic models of the world, but are moving mainly in the direction of a grammatically consistent translation of word sequences.
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