Datasets:
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README.md
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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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##
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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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```
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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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