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This is a Quantitative Study study.

Comparative Analysis of Arabic Translation Results Between ChatGPT and Deepl

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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.

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

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.