Microsoft Translation (MsT) and Human Translation (HT) on Translating Thirukural into English Language

Gomathi Batumalai, Veeramohan Veeraputhran and Manimangai Mani
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Gomathi Batumalai: Department of Foreign Languages, Faculty of Modern Language and Communication, 43400 Universiti Putra Malaysia, Serdang, Selangor
Veeramohan Veeraputhran: Department of Foreign Languages, Faculty of Modern Language and Communication, 43400 Universiti Putra Malaysia, Serdang, Selangor
Manimangai Mani: Department of English Language, Faculty of Modern Language and Communication, 43400 Universiti Putra Malaysia, Serdang, Selangor

International Journal of Research and Innovation in Social Science, 2024, vol. 8, issue 3s, 5936-5949

Abstract: Thirukural is an ancient literature that is found in Tamil. This is a famous piece of literature that people worldwide use as guidance. Thirukural has been translated into more than 82 languages, its English renditions by various translators serve as a crucial medium for global audience. This study mainly discusses the implementation of Microsoft Translation (MsT) and Human Translation (HT) in translating Thirukural into English. Aim of the paper is to identify the translation techniques for Microsoft Translation (MsT) and Human Translation (HT). This study also analyzed the accuracy of Microsoft Translation (MsT) and Human Translation (HT). Peter Newmark’s Translation Theory (1988) was used to conduct the study. This translation theory explains the translation procedures and methods for data analyses. This is a qualitative study. All the data was collected with text analyses and survey methods. The data were discussed briefly in the findings and discussion. This study found that translating literature with Artificial Intelligence and Human Intelligence brings many changes in Targeted Text (TT).

Date: 2024
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