PyQuran: The Python package for Quranic Analysis

PyQuran is a package which provides tools for Quranic Analysis and Arabic texts.

It is still a small package which needs a lot of your effort. We believe that it is a seed of a fundamental general package for computations on Quran with Python, even at the most basic level which is simply retrieving Quran text.

Before Islam, Arabic letters were without dots— rasm, which resulted in ambiguty, two or three letters had the same rasm or form.

Muslims have decided to remove this ambiguity by adding dots above or below each letter of the ones which share the same rasm. Now each letter has a unique form. By the way, originally, Quran was written using letters without dots.

To enable researchers to use modern alphabet, old rasm or other, we introduce alphabetical systems, It is a dynamic construction of letters— Alphabetical Systems.

Quran Corpus

We use tanzil Quran Corpus (Uthmani Text), it is in UTF-8 encoding. You can find all unique characters of Uthmanic Corpus here.

There are special recitation symbols مصطلحات الضبط in the Uthmani Text, they are a guide for the reciter to know the right positions to pause and the rules of tajweed. We provide an interface to filter those symbols, on the fly while fetching from the corpus, we DO NOT change the corpus, NEVER.

For the full details about filtering special recitation symbols مصطلحات الضبط.

Current Features

• Quran Retrieving.
• Advanced Searching, by Text and Diacritics Patterns.
• Buckwalter Transliteration, back and forth.
• Multiple Alphabetical Systems.
• Words Frequency Table المعجم الترددى للألفاظ .

PyQuran needs and Upcoming Features.

• Words Frequency Table filtered according to words meaning.
• Morphology analysis of words to their roots.
• Arabic tools for representing Arabic text for AI algorithms and neural networks, for more serious Arabic text processing and understanding. Those tools should take meaning, diacritics, roots and other morphology aspects in account.
• Some PyQuran in-house tools and architecture enhancement will be on GitHub Issues for you contributors to make PyQuran professional and easy to use.

Contributing

To contribute and maintain PyQuran, Please read CONTRIBUTING section.

Dependencies

• numpy
• pyarabic

Install

• From PyPI: $ pip3 install pyquran

Citing

@MISC {PyQuran2018,
author = "Waleed A. Yousef and
          Taha M. Madbouly and
          Omar M. Ibrahime and
          Ali H. El-Kassas and
          Ali O. Hassan and
          Abdallah R. Albohy",
title = "PyQuran: The Python package for Quranic Analysis",
howpublished = "https://hci-lab.github.io/PyQuran-Private",
year = "2018"}

Communication

Author Page