Morphological Analysis of the Glorious Qur'an: A Comparative Survey of Three Corpora

Abstract

Some attempts have been made in the academic community to carry out an automatic morphological analysis of the Qur'anic text. Among the well-known endeavors in this regard is the morphological annotation of the Quranic Arabic Corpus (QAC) which was carried out in Leeds University, UK. In addition, researchers in the University of Haifa had previously implemented a computational system for the morphological analysis of the Qur'an. More recently, a new Quranic corpus has been built in Mohammed I University in Morocco. To the best of our knowledge, these are the only three studies to produce a morphologically analyzed part-of-speech tagged Qur'an encoded as a structured linguistic database. This paper surveys the morphological analysis in the above-mentioned annotation projects and compares between them to test the quality of their analysis using five criteria related to display of the text in the corpus, word segmentation, morphological disambiguation, part of speech (POS) tag set and manual verification. The paper concludes that the QAC of Leeds and the Quranic corpus of Morocco surpass the Quranic corpus of Haifa with regard to most of these criteria. Furthermore, some additional POS tags for derivative nouns are suggested in a step to reach a more fine-grained tag set that could be proposed for POS tagging of Qur'anic Arabic.

Analysis of the Qurʼānic Text Tonality Using Grammar-Based Approach

“…Processing of the text of the Qurʼān is the most difficult task due to its inimitability and language features and it assumes the development and implementation of special solutions. The world practice has already accumulated some experience in the use of artificial intelligence technologies in the processing of the language of the Qurʼān, but the issues of language emotivity have received insufficient attention [2][3][4].…”

Comparative Analysis of the Most Frequent Verbs and Their Derivatives in the Text of the Qur’ān and Modern Standard Arabic

“…Следует отметить, что результаты анализа частотности реализации глагольных пород показали значительное преобладание глаголов в первой породе (65 % от всех глаголов, отмеченных в тексте Корана) 1 .…”

“…Уже на заре исследований Корана получило развитие направление, связанное с определением объективных параметров текста. В первую очередь это касалось формальных характеристик, таких как количество аятов, слов [1], а также букв, их частотности и распределения в рамках отдельных сур или в тексте в целом и там, где это возможно, их классификации.…”