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70 lines
2.7 KiB
Markdown
70 lines
2.7 KiB
Markdown
---
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language: ar
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thumbnail: https://raw.githubusercontent.com/mawdoo3/Multi-dialect-Arabic-BERT/master/multidialct_arabic_bert.png
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datasets:
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- nadi
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---
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# Multi-dialect-Arabic-BERT
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This is a repository of Multi-dialect Arabic BERT model.
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By [Mawdoo3-AI](https://ai.mawdoo3.com/).
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<p align="center">
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<br>
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<img src="https://raw.githubusercontent.com/mawdoo3/Multi-dialect-Arabic-BERT/master/multidialct_arabic_bert.png" alt="Background reference: http://www.qfi.org/wp-content/uploads/2018/02/Qfi_Infographic_Mother-Language_Final.pdf" width="500"/>
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<br>
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<p>
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### About our Multi-dialect-Arabic-BERT model
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Instead of training the Multi-dialect Arabic BERT model from scratch, we initialized the weights of the model using [Arabic-BERT](https://github.com/alisafaya/Arabic-BERT) and trained it on 10M arabic tweets from the unlabled data of [The Nuanced Arabic Dialect Identification (NADI) shared task](https://sites.google.com/view/nadi-shared-task).
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### To cite this work
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```
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@misc{talafha2020multidialect,
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title={Multi-Dialect Arabic BERT for Country-Level Dialect Identification},
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author={Bashar Talafha and Mohammad Ali and Muhy Eddin Za'ter and Haitham Seelawi and Ibraheem Tuffaha and Mostafa Samir and Wael Farhan and Hussein T. Al-Natsheh},
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year={2020},
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eprint={2007.05612},
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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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### Usage
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The model weights can be loaded using `transformers` library by HuggingFace.
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```python
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from transformers import AutoTokenizer, AutoModel
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tokenizer = AutoTokenizer.from_pretrained("bashar-talafha/multi-dialect-bert-base-arabic")
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model = AutoModel.from_pretrained("bashar-talafha/multi-dialect-bert-base-arabic")
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```
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Example using `pipeline`:
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```python
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from transformers import pipeline
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fill_mask = pipeline(
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"fill-mask",
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model="bashar-talafha/multi-dialect-bert-base-arabic ",
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tokenizer="bashar-talafha/multi-dialect-bert-base-arabic "
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)
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fill_mask(" سافر الرحالة من مطار [MASK] ")
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```
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```
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[{'sequence': '[CLS] سافر الرحالة من مطار الكويت [SEP]', 'score': 0.08296813815832138, 'token': 3226},
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{'sequence': '[CLS] سافر الرحالة من مطار دبي [SEP]', 'score': 0.05123933032155037, 'token': 4747},
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{'sequence': '[CLS] سافر الرحالة من مطار مسقط [SEP]', 'score': 0.046838656067848206, 'token': 13205},
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{'sequence': '[CLS] سافر الرحالة من مطار القاهرة [SEP]', 'score': 0.03234650194644928, 'token': 4003},
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{'sequence': '[CLS] سافر الرحالة من مطار الرياض [SEP]', 'score': 0.02606341242790222, 'token': 2200}]
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```
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### Repository
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Please check the [original repository](https://github.com/mawdoo3/Multi-dialect-Arabic-BERT) for more information.
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