Certain Linguistic Issues of Machine Translation

Abstract

The article considers the possibility of translating literary texts from a natural language into a target language using an automatic machine translation system. The author considers the possibilities of biological intelligence in comparison with machine "intelligence", which is a prototype of artificial intelligence. The paper gives an example (based on the game in GO) of the emergence of neural networks that appear as a result of self-learning of automated systems. New types of neural networks create an algorithm that always wins (the game of GO) against a person, even with the title of “world champion”. Studies show that automated translation systems must be taught to recognize lexico-semantic groups that would be based on the linguistic categories of natural language. Another task is to teach the machine to “think” and operate with images, since natural language is closely related to images and, at present, cannot be fully algorithmized. The practical application of automatic translation of poetic works shows that automatic machine translation systems, not possessing a psyche, are not able to translate texts of this type.