Modeling Syntactic Structures in Arabic: A Study of Selected Qura’nic Semi-Clauses Using Dependency Grammar and Computational Analysis
Abstract
This study investigates the attachment of prepositional and adverbial phrases in Qur’anic discourse through an integrated framework combining traditional Arabic grammar, dependency analysis, constituency structure, computational parsing, and probabilistic graph-based modeling. The findings show that multiple attachment is a systematic syntactic feature that enriches semantic interpretation.
Applied models revealed that traditional grammar preserves interpretive plurality, dependency grammar clarifies relational structure, and constituency analysis represents hierarchy without resolving ambiguity. Computational tools largely favored single verbal attachment, while probabilistic models captured competing links with weighted likelihoods (e.g., 0.55/0.25/0.20; 0.60/0.40).
The study concludes that single-path parsing is insufficient for complex Qur’anic syntax, and that multi-attachment probabilistic modeling provides a more accurate representation when integrated with traditional grammatical insights.Keywords
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