Machine Translation for Russian-Khakas Language Pair: Translation Results in Low-Resource Setting

The article is dedicated to applying transfer learning approach to the translation task of a low-resource Russian-Khakas language pair. This study shows that using the Russian-Chuvash language pair for pre-training can significantly improve the model’s performance. The study describes the process of collecting and preprocessing the data, tokenization, training and evaluation of the results.