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In this section we describe the construction of the corpus, the classifiers and features, and the experimental setting. A state-of-the-art deep learning model, which is identified as SSN-4 mannequin, is studied and how properly this model generalizes to a new data set beyond Randomized Controlled Trials dataset is explored. In a comprehensive review of Urdu literature, we found a couple of numbers of referential works related to Urdu text processing. The primary hurdle in Urdu exploration is the unavailability of the processing sources i.e., eventual dataset, close-domain Part of speech tagger, lexicons, and different supporting instruments.

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