Welcome to the Subtask 1 of the MADAR Shared Task on Arabic Fine-Grained Dialect Identification, organized at The Fourth Arabic Natural Language Processing Workshop (WANLP 2019). In subtask 1, participants are provided with a large-scale collection of parallel sentences in the travel domain covering the dialects of 25 cities from the Arab World plus standard Arabic (MSA). The task is to build systems that predict a dialect class among one of the 26 labels (25+ MSA) for given sentences.
Systems will be evaluated using Macro Averaged F1-score.
Submission format information is available from the 'Participate' tab above.
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The dataset was created under the Multi-Arabic Dialect Applications and Resources project (MADAR) -- Lead PI Nizar Habash, Co-Lead PI Kemal Oflazer, and PI Houda Bouamor. This dataset was made possible by grant NPRP 7-290-1-047 from the Qatar National Research Fund (a member of the Qatar Foundation).
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Start: Jan. 1, 2019, midnight
Start: Jan. 15, 2019, midnight
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