Quranic NLP Morphology Analyzer

Dr. Yusuf Al-Farsi 15 Jan 2024 30 Jun 2025 5 volunteers needed
Overview Open Roles 6 Team
About This Project

We are building an open-source AI-powered morphological analyzer for the entire Quran. The system identifies root letters, grammatical forms, verb patterns, and sentence structure for all 77,430 words in the Quran.

This project will provide an API freely accessible to researchers worldwide, enabling new research in computational Quran studies.

35%
Progress
6
Open Roles
3
Participants
Available Roles View all →
Arabic NLP Engineer
PythonPyTorchArabic NLPTransformers 80h 1 seats

Build and train morphological analysis models using Python and PyTorch....

Quranic Data Annotator
ArabicQuranData EntryMorphology 20h 1 seats

Manually annotate Quranic word morphology for training data....

Backend API Developer
PythonFastAPIPostgreSQLREST APIs 60h 1 seats

Develop RESTful APIs for exposing the morphology analyzer to the public....

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Project Details
Status Active
Priority High
Visibility Public
Budget 15,000 USD
Est. Hours 2000h
Volunteers Needed 5
Skills Needed
PythonArabic NLPMachine LearningPyTorchArabic Morphology
Project Lead
D
Dr. Yusuf Al-Farsi
Project Manager

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