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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.
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N. Y. Habash, “Introduction to arabic natural language processing,”
2010
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A. Pasha, M. Al-Badrashiny, M. T. Diab, A. El Kholy, R. Eskander, N. Habash, M. Pooleery, O. Rambow, and R. Roth, “Madamira: A fast, comprehensive tool for morphological analysis and disambiguation of arabic.” in
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G. A. Abandah, A. Graves, B. Al-Shagoor, A. Arabiyat, F. Jamour, and M. Al-Taee, “Automatic diacritization of arabic text using recurrent neural networks,”
2015
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Y. Belinkov and J. Glass, “Arabic diacritization with recurrent neural networks,” in
2015
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A. Shahrour, S. Khalifa, and N. Habash, “Improving arabic diacritization through syntactic analysis,” in
2015
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A. M. Azmi and R. S. Almajed, “A survey of automatic arabic diacritization techniques,”
2015
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R. Alnefaie and A. M. Azmi, “Automatic minimal diacritization of arabic texts,”
2017
Cited alongside, same era.
A. Chennoufi and A. Mazroui, “Morphological, syntactic and diacritics rules for automatic diacritization of arabic sentences,”
K. Darwish, H. Mubarak, and A. Abdelali, “Arabic diacritization: Stats, rules, and hacks,” in
2017
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A. Fashwan and S. Alansary, “Shakkil: an automatic diacritization system for modern standard arabic texts,” in
2017
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A. Barqawi and T. Zerrouki, “Shakkala, arabic text vocalization,” 2017. [Online]. Available:
2017
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M. Al-Ayyoub, A. Nuseir, K. Alsmearat, Y. Jararweh, and B. Gupta, “Deep learning for arabic nlp: A survey,”
2018
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M. Al-Ayyoub, A. A. Khamaiseh, Y. Jararweh, and M. N. Al-Kabi, “A comprehensive survey of arabic sentiment analysis,”
2019
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2017
Cited alongside, same era.
2019
Closest in time.