Diacritization

Papers

Title Summary Date Publisher
Arabic Text Diacritization Using Deep Neural Networks The results show that the neural Shakkala system significantly outperforms traditional rule-based approaches and other closed-source tools with a Diacritic Error Rate (DER) of 2.88% compared with 13.78%, which the best DER for the non-neural approach(obtained by the Mishkal tool). 2019 Shakkala

Frameworks

Name Publisher Techs Comments
Shakkala Jordan University of Science and Technology Python, Tensorflow, keras  

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