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This is a Quantitative Study study.

Comparative Analysis of Arabic Translation Results Between ChatGPT and Deepl

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Comparative analysis reveals ChatGPT aligns with dynamic equivalence while DeepL emphasizes formal equivalence in Arabic translation accuracy.

ChatGPT generates contextually adaptive outputs, enhancing communicative quality in Arabic translation.
DeepL displays substantial lexical precision, adhering closely to formal equivalence principles in translations.
Employing a back-translation technique, the study investigates morphological and syntactic accuracies in translation systems.
Results suggest complementary strengths of ChatGPT and DeepL, impacting Arabic translation pedagogy and research.

Jauhar et al. (2025) studied this question.

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Comparative analysis reveals ChatGPT aligns with dynamic equivalence while DeepL emphasizes formal equivalence in Arabic translation accuracy.