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README.md
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This model was then finetuned on dialect datasets from Qatar University, University of British Columbia / NLP,
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and Johns Hopkins University / LREC for 10 epochs.
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Sources
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- https://qspace.qu.edu.qa/handle/10576/15265
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- https://github.com/UBC-NLP/aoc_id
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- https://github.com/ryancotterell/arabic_dialect_annotation
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You can use special tokens to prompt five dialects: `[EGYPTIAN]`, `[GULF]`, `[LEVANTINE]`, `[MAGHREBI]`, or `[MSA]`, followed by a space.
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```
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I inserted new tokens into the tokenizer, finetuned the model on the dialect samples, and exported the new model.
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Notebook: https://colab.research.google.com/drive/19C0zbkSCt5ncVCa4kY-ik9hSEiJcjI-F
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This model was then finetuned on dialect datasets from Qatar University, University of British Columbia / NLP,
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and Johns Hopkins University / LREC for 10 epochs.
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You can use special tokens to prompt five dialects: `[EGYPTIAN]`, `[GULF]`, `[LEVANTINE]`, `[MAGHREBI]`, or `[MSA]`, followed by a space.
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```
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I inserted new tokens into the tokenizer, finetuned the model on the dialect samples, and exported the new model.
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Notebook: https://colab.research.google.com/drive/19C0zbkSCt5ncVCa4kY-ik9hSEiJcjI-F
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## Citations
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AraGPT2 model:
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```
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@misc{antoun2020aragpt2,
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title={AraGPT2: Pre-Trained Transformer for Arabic Language Generation},
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author={Wissam Antoun and Fady Baly and Hazem Hajj},
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year={2020},
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eprint={2012.15520},
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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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Dialect data sources:
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- https://qspace.qu.edu.qa/handle/10576/15265
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- https://github.com/UBC-NLP/aoc_id
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- https://github.com/ryancotterell/arabic_dialect_annotation
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