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Data · dataset · 2025

: A Semantic and Grammatical Translation Model Proposal for the Original Unpointed Qur'anic Text Using Artificial Intelligence

Listed in Teesside University Research Data Repository

Description

This dataset accompanies the research article “A Semantic and Grammatical Translation Model Proposal for the Original Unpointed Qur’anic Text Using Artificial Intelligence.” It contains structured and annotated research materials used to design and evaluate an AI-supported semantic and grammatical translation framework for the original unpointed Qur’anic text. The dataset includes the unpointed Qur’anic corpus, morphological and semantic tagging files, tokenizer scripts, AI model parameters, and translation output samples.

This record serves as a foundation for computational Qur’anic linguistics and allows replication, verification, or extension of the translation experiments described in the associated publication.

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Provenance · 1 source records, 9 field assertions
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Teesside University Research Data Repositoryoai:data.mendeley.com/t5gtdt9ntm.17 h agoJSON v1
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