Ключевое слово: «yakut 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.

This article discusses modern software solutions for natural language processing (NLP) with limited resources and a shortage of text data and tools. The relevance of this topic is due to the need to integrate these languages into the digital space to maintain cultural diversity. Machine learning models, including homogeneous transformers and machine translation system, are analyzed using examples of Yakut or Buryat languages. The results show that there are significant differences in the effectiveness of the methods based on the amount of data and the specific situation of the language. The main limitation of the study is the focus on two languages, which narrows the generality of the conclusions. Nevertheless, this work helped to develop methods for further training models of Russian regional languages and emphasized the importance of transferring learning from related languages to overcome the lack of data.

This article examines the linguistic phenomenon of the "Yakutization" of Russian personal names, a process of phonetic and morphological adaptation within the Sakha (Yakut) language system. The research aims to identify the main phonetic features and word-formation mechanisms underlying this transformation. The study is based on a continuous sample of anthroponyms from E.K. Pekarsky's "Dictionary of the Yakut Language", scientific works, and the author's own collection. The analysis reveals that the significant structural differences between the Russian (Indo-European) and Sakha (Turkic) phonetic systems are the primary cause of these changes. Russian names undergo transformations such as sound substitution, metathesis, and the addition or omission of phonemes to comply with Yakut phonotactic rules, including vowel harmony and restrictions on consonant clusters. Furthermore, borrowed names are actively integrated into the Yakut derivational system through a set of specific diminutive and affectionate affixes (e.g., -chaan, -kaan, -s, -chyk, -ka). The article also explores the role of these adapted anthroponyms in Yakut folklore, where they often acquire a generalized meaning. The findings outline the key mechanisms of anthroponymic interference and contribute to the understanding of cross-linguistic and cross-cultural interactions in the Russian Far East.

The declining proficiency and daily use of the Yakut language among children and youth in the Republic of Sakha (Yakutia) presents a significant socio-cultural challenge. Traditional educational and familial methods often prove insufficient against the compelling nature of digital media, which is predominantly in Russian and English. To address this, an innovative approach is proposed: the development of an educational board game based on gamification principles. This project aims to create an interactive tool designed to enhance motivation, facilitate Yakut language acquisition, and promote engagement with local cultural heritage. The abstract outlines the game's development, including its core concept centered around a journey across a stylized map of Yakutia, its mechanics involving task completion and vocabulary collection, and its key components such as thematic word cards, question cards, and action cards. The stages of prototyping and plans for pilot testing in school settings are summarized. The game is positioned as a versatile resource applicable in both formal education and informal learning contexts. Ultimately, this gamified intervention demonstrates considerable potential for increasing learner engagement, improving lexical retention, and supporting the preservation of Yakut linguistic and cultural identity in a globalized era.

This article addresses the problem of declining proficiency in the Yakut language among children and youth in the context of the modern world is digitalization. A solution is proposed: the development and implementation of a memory-training board game "MEMO" in the Yakut language, designed to expand vocabulary and overcome the language barrier. The research emphasizes the critical need for innovative pedagogical tools that align with the learning preferences of the digital generation. Traditional didactic methods often fail to engage young learners, leading to a disconnect from their linguistic heritage. The proposed game leverages proven cognitive mechanics, such as associative pairing and visual mnemonics, to create an immersive and low-stakes learning environment. By transforming vocabulary acquisition into a social and competitive activity, the "MEMO" game aims to foster not only language retention but also a positive emotional connection to the Yakut language. This approach represents a strategic fusion of cultural preservation goals with contemporary educational technology, offering a scalable model for supporting endangered languages globally.