2026-10-15T21:06:32Z https://data.mendeley.com/oai

oai:data.mendeley.com/t5gtdt9ntm.1 2025-10-27T14:45:46Z

Ateş, ayhan Bilge : A Semantic and Grammatical Translation Model Proposal for the Original Unpointed Qur'anic Text Using Artificial Intelligence Mendeley Data 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. Artificial Intelligence Dataset doi:10.17632/t5gtdt9ntm.1 oai:data.mendeley.com/t5gtdt9ntm.1 Creative Commons Attribution 4.0 International http://creativecommons.org/licenses/by/4.0 https://data.mendeley.com/datasets/t5gtdt9ntm 2025-10-27T14:45:46Z