This project would not have been possible without the assistance of a number of people who supplied us with their work and ideas, so we would like to give a special thanks to :
Statistical Parsing by Machine Learning from a Classical Arabic Treebank. PhD Thesis. University of Leeds.
Quran Search for a Concept Tool and Website. PhD Thesis. University of Leeds.
Abdul Baqi M. Sharaf:
QurAna: Corpus of the Qur’an annotated with Pronominal Anaphora
QurSim: A corpus for evaluation of relatedness in short texts
Semantic Quran: A Multilingual Resource for Natural-Language Processing
Rabiah Abdul Kadir, Aliyu Rufai Yauri:
Quranic Verse Extraction base on Concepts using OWL-DL Ontology.
APT: Arabic part-of-speech tagger.
Semantically Answering Questions from the Holy Quran
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