Using Artificial Intelligence to Analyze Linguistic Features in Literary Texts and Its Application in the Teaching Process

This article explores the use of artificial intelligence (AI) technologies for analyzing linguistic features in literary texts and their application in the teaching process. To achieve this objective, two novels–The Last Duty by A. Nurpeisov and Zharmak by M. Magauin–are selected as primary materials, and the methods and advantages of their analysis using AI tools are demonstrated. Traditional literary language analysis is typically based on manual interpretation and experience-driven judgment, which leads to several limitations such as low efficiency, high subjectivity, insufficient quantitative assessment, and limited scalability. Modern AI-based approaches–including natural language processing, language models, and knowledge graphs–help address these challenges. These technologies enable the accurate identification of linguistic features in literary texts, their quantitative evaluation, visualization, and comparative analysis. The article systematically examines the technical foundations and analytical criteria of AI in literary language analysis. Based on teaching experience, an AI-supported learning model is proposed, consisting of the stages: “before the lesson – during the lesson – after the lesson – assessment.” The findings indicate that AI significantly enhances both accuracy and interactivity in teaching language and literature. At the same time, it is essential to maintain a humanistic perspective, clearly define the boundaries of AI use, and minimize risks related to technological dependency and data ethics. Ultimately, a balance can be achieved between technological capabilities and the development of literary competence.