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Paper Maps Uthmani Quranic Script to Standard Arabic for NLP

A new arXiv paper addresses the mismatch between the Uthmani orthography used in printed Qurans and the Standard (Imla'i) Arabic that most Arabic NLP tools support, since the two forms differ at the byte level. The authors present a corpus-aligned mapping between Uthmani and Standard word forms, along with a deterministic validator for recitation. The work targets improved text processing for Quranic Arabic within existing Arabic language tooling.

arabic-nlp/dataset/text-normalization/research