Octopus is a neural machine generation toolkit for Arabic Natural Lnagauge Generation (NLG) that described in our ArabiNLP 2023 paper "OCTOPUS: A Multitask Model and Toolkit for Arabic Natural Language Generation".
GitHub link: https://github.com/UBC-NLP/octopus
Online demo link: https://demos.dlnlp.ai/octopus
Paper link: https://arxiv.org/abs/2310.16127v1
The full documentation contains instructions for getting started, translation using diffrent methods, intergrate OCTOPUS with your code, and provides more examples.
octopus(-py) is Apache-2.0 licensed. The license applies to the pre-trained models as well.
If you use OCTOPUS 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:
@misc{elmadany2023octopus,
title={Octopus: A Multitask Model and Toolkit for Arabic Natural Language Generation},
author={AbdelRahim Elmadany and El Moatez Billah Nagoudi and Muhammad Abdul-Mageed},
year={2023},
eprint={2310.16127},
archivePrefix={arXiv},
primaryClass={cs.CL}
}
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.