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<p align="center">
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<br>
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<img src="https://github.com/UBC-NLP/octopus/raw/main/images/octopus.jpg" width="70%" height="70%"/>
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<br>
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<p>
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<img src="https://github.com/UBC-NLP/octopus/raw/main/images/octopus_tasks.png" alt="OCTOPUS" width="55%" height="55%" align="right"/>
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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.
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Octopus designed for eight machine generation tasks, encompassing diacritization, grammatical error correction, news headlines generation, paraphrasing, question answering, question generation, and
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transliteration. This comprehensive package includes a Python library along with associated command-line scripts.
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**Github**: [https://github.com/UBC-NLP/octopus](https://github.com/UBC-NLP/octopus)
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**Demo**: [https://demos.dlnlp.ai/octopus](https://demos.dlnlp.ai/octopus)
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**Paper**: [https://arxiv.org/abs/2206.03933](https://arxiv.org/abs/2310.16127v1)
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## License
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octopus(-py) is Apache-2.0 licensed. The license applies to the pre-trained models as well.
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## Citation
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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):
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```
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@misc{elmadany2023octopus,
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title={Octopus: A Multitask Model and Toolkit for Arabic Natural Language Generation},
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author={AbdelRahim Elmadany and El Moatez Billah Nagoudi and Muhammad Abdul-Mageed},
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year={2023},
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eprint={2310.16127},
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archivePrefix={arXiv},
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primaryClass={cs.CL}
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}
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```
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