Choosing the Optimal Segmentation Level for POS Tagging of the Quranic Arabic
Fadl Mutaher Ba-Alwi, Mohammed Albared & Tareq Al-Moslmi · Current Journal of Applied Science and Technology · 2017
As a morphologically rich language, Arabic poses special challenges to Part-of-Speech (POS) tagging. Words in Arabic texts often contain several segments; each has its own POS category. The choice of the segmentation level or the input unit, word-based or morpheme-based, is a maj...
Open access
Research Article
10.9734/BJAST/2017/29754