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Author

Azal Alaswaad

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Open access Aug 2026

An intelligent deep learning for Arabic stemming and morphological classification

A two-stage deep learning pipeline that combines Arabic text stemming and morphological classification within a single deep learning architecture is proposed that demonstrates a 38% improvement over the best traditional stemmer, P-Stemmer.

Azal Alaswaad, B. Minaei-Bidgoli · 0 citations

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