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This is a Quantitative Study study.

Translation of Arabic Folk Medical Terms with Om and Abu by AI: A Comparison of Microsoft Copilot and DeepSeek

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Analysis compares accuracy of Microsoft Copilot and DeepSeek in translating Arabic folk medical terms, highlighting strategies and errors.

DeepSeek demonstrated a higher translation accuracy of 66% compared to Microsoft Copilot's 46%, emphasizing its effectiveness.
Translation errors often occurred with terms like أبو الرّكَب and أم التلافيف, where literal translations were misleading.
Both AI tools employed distinct strategies for rendering terms; however, both struggled with maintaining contextual meaning.
Understanding context when translating Arabic phrases, especially folk medical terms, is crucial for accuracy, necessitating user guidance.

Reima Al-Jarf (2025) studied this question.

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Analysis compares accuracy of Microsoft Copilot and DeepSeek in translating Arabic folk medical terms, highlighting strategies and errors.