86 citations · 332 across the 36 of their papers we have counts for
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cs.CL2017★ 11 cited
Build Fast and Accurate Lemmatization for Arabic
Hamdy Mubarak
In this paper we describe the complexity of building a lemmatizer for Arabic which has a rich and complex derivational morphology, and we discuss the need for a fast and accurate l…
cs.CL2017★ 11 cited
Arabic Multi-Dialect Segmentation: bi-LSTM-CRF vs. SVM
Mohamed Eldesouki, Younes Samih, Ahmed Abdelali +4
Arabic word segmentation is essential for a variety of NLP applications such as machine translation and information retrieval. Segmentation entails breaking words into their consti…