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", } ```