| 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 |
| Name | Publisher | Techs | Comments |
|---|---|---|---|
| Shakkala | Jordan University of Science and Technology | Python, Tensorflow, keras |
More resources coming soon stay tuned ! 🤩 You are welcome to contribute to this project ! 🙏