| <img src="https://github.com/UBC-NLP/turjuman/raw/master/images/turjuman.png" alt="AraT5" width="50%" height="50%" align="right"/> | |
| <img src="./images/turjuman.png" alt="AraT5" width="55%" height="55%" 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. | |
| <br> | |
| **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) | |