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@@ -20,3 +20,22 @@ Turjuman exploits our [AraT5 model](https://github.com/UBC-NLP/araT5). This endo
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  **Demo**: [https://demos.dlnlp.ai/turjuman](https://demos.dlnlp.ai/turjuman)
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  **Paper**: [https://arxiv.org/abs/2206.03933](https://arxiv.org/abs/2206.03933)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  **Demo**: [https://demos.dlnlp.ai/turjuman](https://demos.dlnlp.ai/turjuman)
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  **Paper**: [https://arxiv.org/abs/2206.03933](https://arxiv.org/abs/2206.03933)
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+ ## License
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+ turjuman(-py) is Apache-2.0 licensed. The license applies to the pre-trained models as well.
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+ ## Citation
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+ If you use TURJUMAN toolkit or the pre-trained models for your scientific publication, or if you find the resources in this repository useful, please cite our paper as follows (to be updated):
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+ ```
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+ @inproceedings{nagoudi-osact5-2022-turjuman,
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+ title={TURJUMAN: A Public Toolkit for Neural Arabic Machine Translation},
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+ author={Nagoudi, El Moatez Billah and Elmadany, AbdelRahim and Abdul-Mageed, Muhammad},
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+ booktitle = "Proceedings of the 5th Workshop on Open-Source Arabic Corpora and Processing Tools (OSACT5)",
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+ month = "June",
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+ year = "2022",
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+ address = "Marseille, France",
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+ publisher = "European Language Resource Association",
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+ }
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+
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+ ```
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+