Arabic NLP
Arabic NLP and Hadith Authentication with Transformer Models
A practical walkthrough of using AraBERT and modern Arabic NLP techniques to build a Hadith authenticity classification system for Islamic research and scholarly trust.
October 5, 2024
9 min read
Published on Personal Blog
Arabic NLP has unique challenges due to morphology, script variations, and dialectal differences. When combined with religious corpora, data provenance and interpretation become critical design factors.
Building a Hadith Classifier
- Collect and normalise verified Hadith sources
- Fine-tune AraBERT on authenticity labels
- Add explainability with chain-of-thought reasoning
- Deploy as a FastAPI service with real-time inference
This article shares lessons from a live Hadith authentication prototype, including how to preserve narrator chains, handle Arabic tokenisation, and combine modern ML with scholarly validation.