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Print 69 Archive
NEWS
23 April, 2026Rector of Khazar University Participates in Forum in Ganja
23 April, 2026Rector of Khazar University Attends International Conference "From Inclusive Education to Inclusive Society"
19 December, 2026Training on Emotional Support and Mental Well-being
05 November, 2026Environmental Sustainability Seminar for Staff and Students
07 May, 2026English Language and Literature Department Professor’s Article Published in an International Journal
07 May, 2026English Language and Literature Department Professor’s Article Published in an International Journal
05 May, 2026Khazar University and SISU Launch Joint Corpus Research Center and Held 2nd CISMA Conference
04 May, 2026Head of the Department on AnewZ channel
04 May, 2026Prof. Acad. Hamlet Isakhanli at Event of Union of Writers of Azerbaijan
04 May, 2026To the Director of the Construction Materials Scientific Research and Testing Laboratory of Khazar University Dr. Rasim Bayramli

English Language and Literature Department Professor’s Article Published in an International Journal

Professor Samantha Curle of the English Language and Literature Department at Khazar University has published an article titled “AI-generated Shakespeare: A Corpus Stylistic Analysis of ChatGPT-4’s Generated and Adapted Scenes” in the international journal Social Sciences & Humanities Open (Elsevier, Volume 13).

The study explores the impact of generative artificial intelligence on literary production, with particular emphasis on questions of textual integrity, authorship, and stylistic authenticity. Focusing on AI-generated adaptations of canonical works, the research examines how emerging technologies are reshaping the understanding and transmission of literary heritage.

Adopting a corpus stylistic and comparative textual analysis, the study investigates selected scenes from Shakespearean plays, including Romeo and Juliet, The Merchant of Venice, The Winter’s Tale, King Lear, Hamlet, and Othello. The analysis evaluates AI-generated versions of these texts in terms of linguistic, stylistic, thematic, and contextual fidelity.

This paper can be read at:

https://www.sciencedirect.com/science/article/pii/S2590291126002792?via%3Dihub

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