afrolid 0.1.0

Getting Started

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

License

afrolid(-py) is Apache-2.0 licensed. The license applies to the pre-trained models as well.

Citation

If you use AfroLID 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:

useful, please cite our paper as follows:

@article{adebara2022afrolid,
  title={AfroLID: A Neural Language Identification Tool for African Languages},
  author={Adebara, Ife and Elmadany, AbdelRahim and Abdul-Mageed, Muhammad and Inciarte, Alcides Alcoba},
  booktitle = "Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP)",
  month = December,
  year = "2022",
}

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), The Digital Research Alliance of Canada (the Alliance) 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.