Ключевое слово: «turkic language»

In this paper, we present the first neural machine translation system for the Yakut language aimed at preserving and developing the linguistic heritage of the Sakha people. As part of the research, we have developed a model that considers morphological features of the Yakut language. Preliminary results show that the system can reproduce translations while preserving the grammar of the Yakut language. The developed translation system shows promising potential for practical applications in various fields. Further research will be aimed at extending the language model and improving the translation quality through additional training data and refinement of the algorithms. This work represents an important step in the development of computational linguistics for the languages of the peoples of the North of Russia and opens new opportunities for the preservation of digital languages.