Azal Alaswaad

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.