86 citations · 258 across the 18 of their papers we have counts for
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cs.CL2017
Challenging Language-Dependent Segmentation for Arabic: An Application to Machine Translation and Part-of-Speech Tagging
Hassan Sajjad, Fahim Dalvi, Nadir Durrani +3
Word segmentation plays a pivotal role in improving any Arabic NLP application. Therefore, a lot of research has been spent in improving its accuracy. Off-the-shelf tools, however,…
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…