Egyptian Arabic Segmentation Dataset
Introduced by Samih et al. in A Neural Architecture for Dialectal Arabic Segmentation
Contains 350 tweets with more than 8,000 words including 3,000 unique words written in Egyptian dialect. The tweets have much dialectal content covering most of dialectal Egyptian phonological, morphological, and syntactic phenomena. It also includes Twitter-specific aspects of the text, such as #hashtags, @mentions, emoticons and URLs.
Source: A Neural Architecture for Dialectal Arabic SegmentationPapers
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