A complete, multi-layered quranic treebank dataset with hybrid syntactic annotations for classical arabic processingMendeley Data

A complete, multi-layered quranic treebank dataset with hybrid syntactic annotations for classical arabic processingMendeley Data

This article describes the Extended Quranic Treebank (EQTB), a comprehensive, multi-layered, and computationally accessible linguistic resource for Classical Arabic (CA), meticulously developed to overcome the documented limitations of the original Quranic Treebank. Leveraging foundational data from...

Full description

Saved in:
Bibliographic Details
Main Authors: Wadee A. Nashir, Abdulqader M. Mohsen, Asma A. Al-Shargabi, Mohamed K. Nour, Badriyya B. Al-onazi
Format: Article
Language:English
Published: Elsevier 2025-10-01
Series:Data in Brief
Subjects:
Holy quran
Treebank
Syntactic analysis
Morphological analysis
Linguistic resources
Dependency Parsing
Online Access:http://www.sciencedirect.com/science/article/pii/S235234092500664X
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This article describes the Extended Quranic Treebank (EQTB), a comprehensive, multi-layered, and computationally accessible linguistic resource for Classical Arabic (CA), meticulously developed to overcome the documented limitations of the original Quranic Treebank. Leveraging foundational data from established Quranic digital resources, EQTB features systematically expanded orthographic representations generated via algorithmic processing and validation; rigorously refined morphological annotations based on expanded expert-informed schemas, automated re-annotation, and manual curation; and critically, a novel, complete syntactic layer constructed through algorithmic conversion of prior graphical data, Deep Learning-based parsing achieving full coverage under a hybrid constituency-dependency framework, and expert validation. Encompassing the entire Quran (∼132,736 tokens), the dataset is structured in an adapted CoNLL-X format across 43 columns, detailing multiple orthographies, fine-grained morphology (45 tags), and complete hybrid syntax (140 tags/labels), complemented by auxiliary lexicons and schemas. EQTB offers significant reuse potential, providing crucial training/evaluation data for diverse CA NLP tasks (parsing, morphology, diacritization), supporting linguistic research, and enabling the development of advanced pedagogical tools and language technologies.
ISSN:2352-3409

Similar Items