Visualizing Quranic Derivation with Artificial Intelligence (AI) - A Study of Verb-Derived Nouns in Surat (Chapter) Al-Baqara Visualized by ChatGPT and Their English Translations
DOI:
https://doi.org/10.25130/jfa.conf.10.1.22الكلمات المفتاحية:
الترجمة، الاشتقاق، الأسماء، الأفعال، التصور، القرآن الكريمالملخص
As a Semitic language, Arabic is well known for its long-standing derivational system, where one root can make a lot of words in many different contexts, but with the same basic meaning. This work tackles how words from verbs of Quranic chapter Al-Baqara, have added to the richness of the Quran language. It shows how these words are formed and how they carry a wider theological, moral and social meaning. The work also compares these Arabic words with their English equivalents based on English translations available on quran.com. The research adopts the translation of Muhsin Khan and Hilali of Quran in (https://quranenc.com/en/browse/english_hilali_khan/2) as a model to study the translated texts.
The unique feature of this work is the inclusion of AI images made through ChatGPT which visually portray the meaning of the selected derived nouns. These pictures help a new way to teach students, especially people who are not native Arabic speakers, to understand the difficult language of the Quran. The study shows that most of the derived words here are from the al-ishtiqāq al-ṣaghīr (الاشزمبق اصٌغيس ) , which means small derivation. In this type, the root letters stay the same, but they go into different word forms to give new meanings. This research uses the old methods of language study together with new digital tools. It makes a mixed way to read and explain the Quran. The goal is to help students, translators,
التنزيلات
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