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All Journal Journal of English Language Teaching, Literatures, Applied Linguistics
Manullang, Yuni Maria
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Education Languange, Linguistic, Communication & Media

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Contrastive Analysis Of Idiom Translation: Literal vs. DeepL in Adele’s Song “Someone Like You” Into Indonesian Manullang, Yuni Maria; Damanik, Masta Artani; Simbolon, Diane Sarima Lestari; Gea, Sarah Nasrani; Sagala, Poster
Journal of English Language Teaching, Literatures, Applied Linguistic (JELTLAL) Vol. 3 No. 2 (2025): December
Publisher : Merwinspy Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69820/jeltlal.v3i2.405

Abstract

This study investigates the challenges and strategies involved in translating English idioms into Indonesian, with a particular focus on Adele's song "Someone Like You." The research employs a qualitative descriptive approach and utilizes contrastive analysis, with a focus on three quality indicators: accuracy, naturalness, and acceptability. The findings indicate that literal translation can result in statements that are either uncomfortable or incomprehensible in the target language, thereby leading to a loss of the intended meaning of the idiom. In contrast, the neural machine translation of DeepL demonstrated a significantly higher success rate, achieving an accuracy of 93.33% across the analyzed idioms. In comparison, the literal translation exhibited a substantially lower accuracy of 42.22%. This exemplifies the idiomatic fluency and contextual awareness of DeepL; nevertheless, human interaction remains imperative to preserve the emotional depth and cultural subtlety of literary texts. This research underscores the potential for a symbiotic relationship between technology and human aptitude, particularly in artistic domains such as music, where the translation of idioms can be particularly salient. Subsequent research endeavors may involve a more extensive investigation of idiom translation across genres and languages, with the objective of promoting the development of emotionally intelligent machine translation tools.
Co-Authors Damanik, Masta Artani Gea, Sarah Nasrani Sagala, Poster Simbolon, Diane Sarima Lestari