COMPARATIVE ANALYSIS OF TEXTS EDITED BY ARTIFICIAL INTELLIGENCE AND HUMAN EDITORS

Nazarova Munira(1)
(1) University of Journalism and Mass Communications of Uzbekistan

Abstract

Editing manuscript texts is a labor-intensive process. Numerous editing programs and websites use artificial intelligence systems to facilitate editors’ work. The automated editing system simplifies human work. Can artificial intelligence, replacing human factors in many fields, also affect editors’ editorial activities? In this scientific article, the author studies the artificial intelligence tools for editing Uzbek-language texts — tahrirchi.uz and savodxon.uz programs — in comparison to the work of editors at “Sharq Yulduzi” magazine. Specifically, the author analyzes the capabilities and limitations of editing programs by editing manuscripts from various authors using both programs and comparing them to the work of magazine editors. As a result, observations and opinions regarding the significance of artificial intelligence tools in editing and their impact on editors’ work in terms of time and quality are summarized, and conclusions are drawn. The article’s main objective is to provide recommendations for the effective and appropriate use of artificial intelligence based on the research of editing programs and editors’ potential. The scientific novelty of the research consists of developing proposals and recommendations for improving programs that edit texts in the Uzbek language.

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https://t.me/savodxon_uz/510

Authors

Nazarova Munira
munira_nazarova1601@mail.ru (Primary Contact)
Author Biography

Nazarova Munira

Doctoral student

ORCID: 0009-0007-7015-8566

COMPARATIVE ANALYSIS OF TEXTS EDITED BY ARTIFICIAL INTELLIGENCE AND HUMAN EDITORS. (2024). Foreign Languages ​​in Uzbekistan (JOURNALFLEDU.COM), 59(6), 107-120. https://doi.org/10.36078/1735296072

Article Details

How to Cite

COMPARATIVE ANALYSIS OF TEXTS EDITED BY ARTIFICIAL INTELLIGENCE AND HUMAN EDITORS. (2024). Foreign Languages ​​in Uzbekistan (JOURNALFLEDU.COM), 59(6), 107-120. https://doi.org/10.36078/1735296072