ellibsЭлектронные библиотекиRussian Digital Libraries Journal1562-5419Казанский (Приволжский) федеральный университет10.26907/1562-5419-2025-28-5-1267-1278ellibs-619Research ArticleСтатьиСтилометрический анализ в задаче поиска заимствований текстов на татарском языкеStylometric Analysis in the Task of Searching for Borrowings of Texts in the Tatar LanguageХаялееваИзида ЗуфаровнаKhayaleevaIzida Zufarovnaizidakh@yandex.ruАбрамскийМихаил МихайловичAbramskiyMikhail Mikhailovichmabramsk@kpfu.ruКазанский (Приволжский) федеральный университетKazan (Volga region) Federal University20251912202528512671278Copyright © Хаялеева И.З., Абрамский М.М., 20252025Хаялеева И.З., Абрамский М.М.Khayaleeva I.Z., Abramskiy M.M.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://ellibs.elpub.ru/jour/article/view/619

Рассмотрена возможность применения методов стилометрического анализа для поиска заимствований в текстах на татарском языке. Разработаны соответствующие инструменты, в которых использованы алгоритмы машинного обучения, включая кластеризацию (метод k-средних), классификацию (метод случайного леса, метод опорных векторов, наивный байесовский классификатор) и гибридный подход (модель FastText + логистическая регрессия). Особое внимание уделено адаптации лингвистических метрик для татарского языка.

This article discusses the use of stylometric analysis in searching for borrowings of text in the Tatar language. Relevant tools have been developed, utilizing machine learn-ing algorithms, including clustering (k-means method), classification (random forest method, support vector machine method, naive Bayes classifier), and a hybrid approach (FastText model + logistic regression). Special attention is paid to the adaptation of lin-guistic metrics for the Tatar language.

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The authors declare that there are no conflicts of interest present.