Machines Translating the Qur'an A Comparative Analysis of AI and Human Generated Translations (Working Paper)

Key Points

• The aim is to compare AI-generated translations of the Qur'an with those of human translators.
• Analyzes 15 translations of the Qur'an generated by large language models (LLMs) into English.
• Compares AI translations to human translations for linguistic accuracy and contextual meaning.
• Utilizes qualitative analysis to assess differences in tone and interpretation.
• AI translations show varied accuracy compared to human counterparts.
• Some LLM translations retain cultural context better than others.
• Distinct variances in interpretative styles highlight strengths and weaknesses of AI.

Abstract