A Comparative Study of Human vs. Generative AI Translation of English Poetry into Arabic: Assessing Stylistic Fidelity and Creative Nuance
DOI:
https://doi.org/10.65417/ljere.v2i1.84Keywords:
poetic translation, generative artificial intelligence, stylistic fidelity, creative nuance, English-Arabic translationAbstract
This study compares the quality of translating English poetry into Arabic by human translators versus generative AI models such as GPT-4 and Google Bard. Employing a descriptive, analytical, and comparative methodology, it examines translations of four renowned English poems (by Shakespeare, Wordsworth, Emily Dickinson, and T. S. Eliot) produced by professional human translators and AI tools. The analysis evaluates stylistic fidelity (rhythm, poetic imagery, and metaphors) and creative nuance (preservation of emotional and cultural depth). Findings reveal that human translations outperform AI in conveying creative nuance by 72%, while AI excels in speed and literal accuracy but struggles with cultural contexts. The study recommends integrating both approaches to improve literary translation quality.
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