turjuman 1.0.5

Getting Started

The full documentation contains instructions for getting started, translation using diffrent methods, intergrate Turjuman with your code, and provides more examples.

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:

@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",
}

7. Acknowledgments

We gratefully acknowledge support from the Natural Sciences and Engineering Research Council of Canada (NSERC; RGPIN-2018-04267), the Social Sciences and Humanities Research Council of Canada (SSHRC; 435-2018-0576; 895-2020-1004; 895-2021-1008), ComputeCanada (CC) and UBC ARC-Sockeye and Advanced Micro Devices, Inc. (AMD). Any opinions, conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of NSERC, SSHRC, CFI, CC, AMD, or UBC ARC-Sockeye.