@@ -21,7 +21,7 @@ By [Mawdoo3-AI](https://ai.mawdoo3.com/).
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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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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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### To cite this work
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We haven't published any paper on this work. Please cite this repository:
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Please cite this paper for now:
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```
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```
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@inproceedings{talafha-etal-2020-nadi,
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@inproceedings{talafha-etal-2020-nadi,
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title ={{Multi-dialect Arabic BERT for Country-level Dialect Identification}},
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title ={{Multi-dialect Arabic BERT for Country-level Dialect Identification}},
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