Papers by Israa Alsarsour

    1 papers
    DART: A Large Dataset of Dialectal Arabic Tweets (L18-1)

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    Challenge: The Arabic language is the fifth most widely spoken language in the world; more than 380 million people speak and write in Arabic.
    Approach: They propose to build a large manually-annotated multi-dialect dataset of Arabic tweets that is publicly available.
    Outcome: The proposed dataset is well-balanced over five main Arabic dialects: Egyptian, Maghrebi, Levantine, Gulf, and Iraqi.

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