Studying Emotional Tone Transfer when Translating Literary Texts from English into Russian

The paper is devoted to the problem of analysing translations made by students specializing in translation practices. There are proposed to use bidirectional convolution neural networks to find out emotions in original texts and in translations. Used models demonstrated high accuracy and were applied to the translations of two emotionally different texts.