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@@ -156,7 +156,11 @@ This dataset is introduced in a research paper titled "[***Leveraging Corpus Met
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  3. **Uncategorized**: Another unbalanced subset of the dataset comprised 569K and was split in the ratio of 80:20 for training and testing, but this was classified automatically using the `XGBoost` classifier trained using the balanced subset.
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- ## Please Cite:
 
 
 
 
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  ```
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  @article{alshahrani2024leveraging,
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  title={Leveraging Corpus Metadata to Detect Template-based Translation: An Exploratory Case Study of the Egyptian Arabic Wikipedia Edition},
@@ -168,5 +172,4 @@ This dataset is introduced in a research paper titled "[***Leveraging Corpus Met
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  journal={arXiv preprint arXiv:2404.00565},
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  url={https://arxiv.org/abs/2404.00565}
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  }
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- ```
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  3. **Uncategorized**: Another unbalanced subset of the dataset comprised 569K and was split in the ratio of 80:20 for training and testing, but this was classified automatically using the `XGBoost` classifier trained using the balanced subset.
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+ ## Citations:
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+ ### Short Citation:
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+ Saied Alshahrani, Hesham Haroon, Ali Elfilali, Mariama Njie, and Jeanna Matthews. 2024. **Leveraging Corpus Metadata to Detect Template-based Translation: An Exploratory Case Study of the Egyptian Arabic Wikipedia Edition**. *arXiv preprint arXiv:2404.00565*.
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+ ### BibTeX Citation:
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  ```
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  @article{alshahrani2024leveraging,
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  title={Leveraging Corpus Metadata to Detect Template-based Translation: An Exploratory Case Study of the Egyptian Arabic Wikipedia Edition},
 
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  journal={arXiv preprint arXiv:2404.00565},
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  url={https://arxiv.org/abs/2404.00565}
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  }
 
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