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We describe findings of the third Nuanced Arabic Dialect IdentificationShared Task (NADI 2022). NADI aims at advancing state of the art Arabic NLP,including on Arabic dialects. It does so by affording diverse datasets andmodeling opportunities in a standardized context where meaningful comparisonsbetween models and approaches are possible. NADI 2022 targeted both dialectidentification (Subtask 1) and dialectal sentiment analysis (Subtask 2) at thecountry level. A total of 41 unique teams registered for the shared task, ofwhom 21 teams have actually participated (with 105 valid submissions). Amongthese, 19 teams participated in Subtask 1 and 10 participated in Subtask 2. Thewinning team achieved 27.06 F1 on Subtask 1 and F1=75.16 on Subtask 2,reflecting that the two subtasks remain challenging and motivating future workin this area. We describe methods employed by participating teams and offer anoutlook for NADI.

NADI 2022: The Third Nuanced Arabic Dialect Identification Shared Task