46 citations · 63 across the 3 of their papers we have counts for
4 papers · 1 filter
Multi-Dialect Arabic BERT for Country-Level Dialect Identification
Bashar Talafha, Mohammad Ali, Muhy Eddin Za'ter +5
Arabic dialect identification is a complex problem for a number of inherent properties of the language itself. In this paper, we present the experiments conducted, and the models d…
Tha3aroon at NSURL-2019 Task 8: Semantic Question Similarity in Arabic
Ali Fadel, Ibraheem Tuffaha, Mahmoud Al-Ayyoub
In this paper, we describe our team's effort on the semantic text question similarity task of NSURL 2019. Our top performing system utilizes several innovative data augmentation te…
Neural Arabic Text Diacritization: State of the Art Results and a Novel Approach for Machine Translation
Ali Fadel, Ibraheem Tuffaha, Bara' Al-Jawarneh +1
In this work, we present several deep learning models for the automatic diacritization of Arabic text. Our models are built using two main approaches, viz. Feed-Forward Neural Netw…
Arabic Text Diacritization Using Deep Neural Networks
Ali Fadel, Ibraheem Tuffaha, Bara' Al-Jawarneh +1
Diacritization of Arabic text is both an interesting and a challenging problem at the same time with various applications ranging from speech synthesis to helping students learning…