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@@ -53,3 +53,8 @@ The overarching objective of this dataset is to highlight the superior literary
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  # Suggested Research Application: Iterative Translation Refinement
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  A novel application for this dataset involves utilizing existing translation models to back-translate the English texts into Arabic, likely resulting in a less sophisticated form of the language. This process, known as back-translation, can generate a large corpus of imperfect Arabic text. Subsequently, a new model could be trained to refine this weaker form of Arabic by comparing it to the original Classical Arabic texts in the dataset. The resultant model can be used to enhance current Arabic texts by making it sound more "Classical".
 
 
 
 
 
 
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  # Suggested Research Application: Iterative Translation Refinement
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  A novel application for this dataset involves utilizing existing translation models to back-translate the English texts into Arabic, likely resulting in a less sophisticated form of the language. This process, known as back-translation, can generate a large corpus of imperfect Arabic text. Subsequently, a new model could be trained to refine this weaker form of Arabic by comparing it to the original Classical Arabic texts in the dataset. The resultant model can be used to enhance current Arabic texts by making it sound more "Classical".
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+ # Credits
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+ [The Rasaif Website](https://rasaif.com/): For updates and more information about their work, follow them on [Twitter](https://twitter.com/rasaif_com), and follow Ahmad Alghamdi's [Telegram channel](https://t.me/ahmedhassg)
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