Description

Focuses on computational methods for representing, retrieving, classifying, comparing, annotating, and interpreting Qur’anic textual information using Natural Language Processing (NLP), text mining, information retrieval, machine learning, semantic analysis, ontology engineering, knowledge representation, and related computational techniques. The theme covers the complete research pipeline from authenticated Qur’anic corpus acquisition and preservation through Unicode normalization, orthographic handling, tokenisation, stemming/lemmatisation, root and affix analysis, morphological and syntactic annotation, feature engineering, semantic representation, model training, testing, evaluation, error analysis, expert validation, and reproducibility