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 Chandran, R. Abilash; Lijo, J. Jeffin Title A name given to the resource TamilEnglish Machine Translation: A Comparative Analysis of Human and AI Renderings Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2026 Source A related resource from which the described resource is derived Multimodality and Translation in Audiovisual Media;pp.195-223 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/979-8-3373-5717-1.ch007" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3373-5717-1.ch007</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105033238237?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105033238237?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 Chandran R.A.; Lijo J.J., CHRIST (Deemed to be University), Bengaluru, India Description An account of the resource This chapter explores the understudied challenges of TamilEnglish machine translation (MT), which is a field where most existing scholarship has focused on Western language pairs. It performs a comparative analysis of published translations of acclaimed Tamil authors such as Perumal Murugan, Ashokamitran, Jeyamohan, and Charu Nivedita with AI- generated translations produced by systems including ChatGPT, Grok, and AI Novel Translation. It explores issues of accuracy, fidelity, style, and cultural nuance. By examining how AI tools interpret and reproduce linguistic choices, syntax, and cultural particularities, it evaluates the extent to which AI can approximate human translation and highlights the role of post- editing in bridging gaps. The analysis not only identifies recurring errors but also suggests methods for refining human and AI translations for Tamil literary texts. 2026 by IGI Global Scientific Publishing. All rights reserved. Subject The topic of the resource Cultural Nuance in Translation; Fidelity and Accuracy in Translation; Human- AI Collaborative Translation; Machine Translation (MT); Neural Machine Translation (NMT); Post- Editing; Translation Challenges in Regional Languages Publisher An entity responsible for making the resource available IGI Global Relation A related resource ISBN: 979-833735719-5; 979-833735717-1; 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