Tamil–English Machine Translation

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Authors: Abilash Chandran, Jeffin Lijo J
Cited by: 0
References: 29

Abstract

This chapter explores the understudied challenges of Tamil–English 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.

Fields of Study & Subjects

Translation Studies and Practices Natural Language Processing Techniques Comparative and World Literature

Publication details

Journal / source
IGI Global eBooks
Pages
195–224
Publication date
28 January 2026
Language
NG
Document type
Book chapter