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pro vyhledávání: '"Tuffaha, Ibraheem"'
Autor:
Talafha, Bashar, Ali, Mohammad, Za'ter, Muhy Eddin, Seelawi, Haitham, Tuffaha, Ibraheem, Samir, Mostafa, Farhan, Wael, Al-Natsheh, Hussein T.
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 developed by our competing team, Mawdoo3 AI, along the way to achieving
Externí odkaz:
http://arxiv.org/abs/2007.05612
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 techniques to enlarge the training data. Then, it takes ELMo pre-trained
Externí odkaz:
http://arxiv.org/abs/1912.12514
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 Network (FFNN) and Recurrent Neural Network (RNN), with several enhancemen
Externí odkaz:
http://arxiv.org/abs/1911.03531
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 the Arabic language. Like many other tasks or problems in Arabic lang
Externí odkaz:
http://arxiv.org/abs/1905.01965
Akademický článek
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