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AraT5-MSAizer: Translating Dialectal Arabic to MSA
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AraT5-MSAizer: Translating Dialectal Arabic to MSA
This paper outlines the process of training the AraT5-MSAizer model, a transformer-based neural machine translation model aimed at translating five regional Arabic dialects into Modern Standard Arabic (MSA). Developed for Task 2 of the 6th Workshop on Open-Source Arabic Corpora and Processing Tools, the model attained a BLEU score of 21.79% on the test set associated with this task.
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