The Impact of Taking into Account the Emotional Component on the Quality of Machine Translation

The article discusses the process of further training the machine translation model from English to Russian while preserving the emotional coloring of sentences. Using various penalties proposed by the authors, several models were trained, and estimates of the quality of translation and the time spent on training were presented. Conclusions are drawn about the effectiveness of using this technique for teaching machine translation models.