14 citations · 14 across the 1 of their papers we have counts for
Showing cs.CLShow all
2 papers · 1 filter
cs.CL2019★ 14 cited
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…
cs.CL2019
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…