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| <img src="https://github.com/UBC-NLP/turjuman/raw/master//images/turjuman_logo.png"/> | |
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| <img src="https://github.com/UBC-NLP/turjuman/raw/master/images/turjuman.png" alt="AraT5" width="50%" height="50%" align="right"/> | |
| Turjuman is a neural machine translation toolkit. It translates from 20 languages into Modern Standard Arabic (MSA). Turjuman is described in this paper: | |
| [**TURJUMAN: A Public Toolkit for Neural Arabic Machine Translation**](https://arxiv.org/abs/2206.03933). | |
| Turjuman exploits our [AraT5 model](https://github.com/UBC-NLP/araT5). This endows Turjuman with a powerful ability to decode into Arabic. The toolkit offers the possibility of employing a number of diverse decoding methods, making it suited for acquiring paraphrases for the MSA translations as an added value. | |
| **Github**: [https://github.com/UBC-NLP/turjuman](https://github.com/UBC-NLP/turjuman) | |
| **Demo**: [https://demos.dlnlp.ai/turjuman](https://demos.dlnlp.ai/turjuman) | |
| **Paper**: [https://arxiv.org/abs/2206.03933](https://arxiv.org/abs/2206.03933) | |
| ## License | |
| turjuman(-py) is Apache-2.0 licensed. The license applies to the pre-trained models as well. | |
| ## Citation | |
| 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): | |
| ``` | |
| @inproceedings{nagoudi-osact5-2022-turjuman, | |
| title={TURJUMAN: A Public Toolkit for Neural Arabic Machine Translation}, | |
| author={Nagoudi, El Moatez Billah and Elmadany, AbdelRahim and Abdul-Mageed, Muhammad}, | |
| booktitle = "Proceedings of the 5th Workshop on Open-Source Arabic Corpora and Processing Tools (OSACT5)", | |
| month = "June", | |
| year = "2022", | |
| address = "Marseille, France", | |
| publisher = "European Language Resource Association", | |
| } | |
| ``` | |