Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Bisht, Priyanka; Pujari, Jyoti Prakash Title A name given to the resource Translating Subh-e-Azadi: ChatGPT, Gemini, and the cultural complexity of 1947 partition poetry Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Role of AI in Translation and Interpretation;pp.267-291 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/979-8-3373-0060-3.ch010" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3373-0060-3.ch010</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105005128329?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105005128329?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Bisht P., Christ University, India; Pujari J.P., Christ University, India Description An account of the resource Artificial Intelligence has transformed the field of translation, yet concerns remain about its ability to handle culturally complex metaphors and nuances. This chapter addresses this issue and compares the capabilities of two AI models- ChatGPT 4o (free version) and Gemini 1.5 Flash (free version) in translating a culturally laden poem, "Subh- e- Azadi (The Dawn of Freedom)" by Faiz Ahmed Faiz, from Hindi to English. With an emphasis on accuracy and quality, this study compares the translations produced by ChatGPT and Gemini against a human translation of the poem. It explores how AI models handle linguistic subtleties, cultural adaptability, and emotional depth while also experimenting with prompting techniques to assess whether explicit instructions improve translation quality or not. The findings will provide an insight into the future of AI in translating literature with heavy contextual background. 2025, IGI Global Scientific Publishing. All rights reserved. Publisher An entity responsible for making the resource available IGI Global Relation A related resource ISBN: 979-833730062-7; 979-833730060-3; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online