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«XORIJIY TILLARNI O‘QITISH VA TARJIMA SOHASIDA
SUN’IY INTELLEKTDAN SAMARALI FOYDALANISHNING
ZAMONAVIY TENDENSIYALARI»

ISSUES OF ANALYZING AND INTERPRETING LITERARY TEXTS USING
ARTIFICIAL INTELLIGENCE IN THE STUDY OF WORLD LITERATURE

Author: Kurbanova Sayyora Komiljanovna
1
Affiliation: Master’s Student, Nordic International University
1
DOI: https://doi.org/10.5281/zenodo.19689893

ABSTRACT

In recent years, the incorporation of Artificial Intelligence (AI) into literary studies has
significantly transformed the ways in which texts are analyzed and interpreted. This paper
investigates a range of computational methods that have introduced innovative
perspectives and analytical frameworks for scholars. By utilizing advanced AI-driven
techniques, including natural language processing (NLP), machine learning, and neural
networks, the study explores how these technologies contribute to a more profound
understanding of literary works. They enable the discovery of underlying patterns and offer
enhanced insights into themes, stylistic features, and the intentions of authors. Ultimately,
this research seeks to connect technological advancements with literary scholarship,
highlighting the role of artificial intelligence as an effective tool in interpreting the intricate
and multifaceted nature of literary texts.

Keywords: Artificial Intelligence, Natural Language Processing (NLP), Machine Learning,
Neural Networks, Text Interpretation, Computational Methods.

INTRODUCTION
The convergence of artificial intelligence (AI) and literary analysis represents a
significant transformation within the humanities, introducing innovative approaches
to text interpretation. With the rapid development of digital technologies,
computational techniques have opened new opportunities for examining literary
works. AI-based tools such as natural language processing (NLP), machine learning,
and neural networks make it possible to process extensive amounts of textual data,
revealing patterns and insights that may remain unnoticed through traditional
analysis. These technologies facilitate the study of large text collections, allowing
researchers to identify thematic trends, stylistic characteristics, and structural
elements with greater accuracy. Furthermore, AI broadens access to sophisticated
analytical resources, encouraging interdisciplinary cooperation and inclusivity. As a
result, AI is becoming an essential assistant in interpreting the complex and diverse
expressions found in literature.
Natural Language Processing (NLP)
Natural Language Processing (NLP) is a subfield of artificial intelligence and
linguistics that focuses on enabling computers to comprehend and interpret human
language. It was developed to simplify user interaction with machines and to fulfill
the need for communication in natural language (Khurana et al.). NLP involves
various applications, including speech recognition, translation, sentiment analysis, 439
and text summarization. By applying techniques such as tokenization, syntactic

III SHO‘BA:

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tahlil qilish va interpretatsiya masalalari
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