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Country-level Arabic Dialect Identification using RNNs with and without Linguistic Features
This work investigates the value of augmenting recurrent neural networks with feature engineering for the Second Nuanced Arabic Dialect Identification (NADI) Subtask 1. 2: Country-level DA identification.
An OpenNMT Model to Arabic Broken Plurals
Arabic Broken Plurals show an interesting phenomenon in Arabic morphology as they are formed by shifting the consonants of the syllables into different syllable patterns, and subsequently, the pattern of the word changes.
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