What type of study is this?

This is a Quantitative Study study.

September 24, 2025International Journal of Agriculture & Sustainable Development

Exploring Contextual Similarity in Quranic Ayahs: A Case Study of Surah Al-Baqarah and Aal-e-Imran in Urdu Translations

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Authors

TITanvira IsmailUniversity of Babylon MAMuhammad Arshad AwanAllama Iqbal Open University DKDanish KhaleeqAllama Iqbal Open University

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Implication

This research explores contextual similarity among Ayahs in Surah Al-Baqarah and Aal-e-Imran, highlighting machine learning's role in Quranic translation accuracy.

Key Points

The study reveals varying degrees of contextual similarity among Ayahs, emphasizing the role of deep learning in translation assessment.
Using Long Short-Term Memory (LSTM) networks, the research quantitatively evaluates relationships between Ayahs, presenting a novel approach to translation.
Findings indicate that while some Ayahs align closely in context, others diverge, revealing the challenges in capturing the essence of the original Arabic text.
By integrating machine learning with Quranic studies, this research contributes significantly to the field of computational linguistics and translation ethics.

Cite This Study

Ismail et al. (2025) studied this question.

synapsesocial.com/papers/68d6d8548b2b6861e4c3e4b9 https://doi.org/10.33411/ijist/2025716982

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Implication

This research explores contextual similarity among Ayahs in Surah Al-Baqarah and Aal-e-Imran, highlighting machine learning's role in Quranic translation accuracy.

Exploring Contextual Similarity in Quranic Ayahs: A Case Study of Surah Al-Baqarah and Aal-e-Imran in Urdu Translations

Discussion

Member takes

Implication

Key Points

Cite This Study

Exploring Contextual Similarity in Quranic Ayahs: A Case Study of Surah Al-Baqarah and Aal-e-Imran in Urdu Translations

Discussion

Member takes

Implication

Key Points

Cite This Study

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