| <p align="center"> | |
| <br> | |
| <img src="https://github.com/UBC-NLP/octopus/raw/main/images/octopus.jpg" width="70%" height="70%"/> | |
| <br> | |
| <p> | |
| <img src="https://github.com/UBC-NLP/octopus/raw/main/images/octopus_tasks.png" alt="OCTOPUS" width="55%" height="55%" align="right"/> | |
| 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. | |
| Octopus designed for eight machine generation tasks, encompassing diacritization, grammatical error correction, news headlines generation, paraphrasing, question answering, question generation, and | |
| transliteration. This comprehensive package includes a Python library along with associated command-line scripts. | |
| **Github**: [https://github.com/UBC-NLP/octopus](https://github.com/UBC-NLP/octopus) | |
| **Demo**: [https://demos.dlnlp.ai/octopus](https://demos.dlnlp.ai/octopus) | |
| **Paper**: [https://arxiv.org/abs/2206.03933](https://arxiv.org/abs/2310.16127v1) | |
| ## License | |
| octopus(-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): | |
| ``` | |
| @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} | |
| } | |
| ``` | |