2022
DOI: 10.14569/ijacsa.2022.01307100
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Building an Arabic Dialectal Diagnostic Dataset for Healthcare

Abstract: Accurate diagnosis of patient conditions becomes challenging for medical practitioners in urban metropolitan cities. A variety of languages and spoken dialects impedes the diagnosis achieved through the exploratory journey a medical practitioner and patient go through. Natural language processing has been used in well-known applications, such as Google Translate, as a solution to reduce language barriers. Languages typically encountered in these applications provide the most commonly known, used or standardize… Show more

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Cited by 4 publications
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