TamilEnglish Machine Translation: A Comparative Analysis of Human and AI Renderings
- Title
- TamilEnglish Machine Translation: A Comparative Analysis of Human and AI Renderings
- Creator
- Chandran, R. Abilash; Lijo, J. Jeffin
- Description
- 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.
- Source
- Multimodality and Translation in Audiovisual Media;pp.195-223
- Date
- 01-01-2026
- Publisher
- IGI Global
- Subject
- 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
- Coverage
- Chandran R.A.; Lijo J.J., CHRIST (Deemed to be University), Bengaluru, India
- Rights
- Restricted Access; Hardcopy may be available in the library
- Relation
- ISBN: 979-833735719-5; 979-833735717-1;
- Format
- online
- Language
- English
- Type
- Book chapter
Collection
Citation
Chandran, R. Abilash; Lijo, J. Jeffin, “TamilEnglish Machine Translation: A Comparative Analysis of Human and AI Renderings,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 17, 2026, https://archives.christuniversity.in/items/show/24837.
