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<p>This paper investigates the problem of automatic authorship identification in literary texts written in the Azerbaijani language. The proposed approach focuses on the morphological and statistical characteristics of the language, particularly suffix frequencies. To represent authorial style, frequency vectors were constructed for each text based on suffix features, and three distance-based identification methods were applied. The results demonstrate that all three approaches are effective in distinguishing between authors and provide significantly higher accuracy compared to random selection.</p>

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Authorship Identification in Azerbaijani Literary Texts Using Suffix-Based Features and Distance Metrics

  • 期刊论文

  • 发表日期：

    2026年3月1日

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  • L. Hasanova,
  • M. Mutallimov

摘要

This paper investigates the problem of automatic authorship identification in literary texts written in the Azerbaijani language. The proposed approach focuses on the morphological and statistical characteristics of the language, particularly suffix frequencies. To represent authorial style, frequency vectors were constructed for each text based on suffix features, and three distance-based identification methods were applied. The results demonstrate that all three approaches are effective in distinguishing between authors and provide significantly higher accuracy compared to random selection.