What is AlexandriaX?
AlexandriaX-2026 is an ArabicNLP 2026 shared task on context-aware dialectal Arabic MT and MT evaluation, cross-dialect Arabic MT, and span-level MT error detection and classification.
Participant Support
AlexandriaX-2026 is an ArabicNLP 2026 shared task on context-aware dialectal Arabic MT and MT evaluation, cross-dialect Arabic MT, and span-level MT error detection and classification.
Yes. Teams may participate in Subtask 1, Subtask 2, Subtask 3, or any combination of them. Subtask 1 also has constrained and unconstrained tracks (participants can participate in either or both).
Participants may use only the provided Alexandria training and development data. Submitted systems must not exceed 5B total parameters.
External data, pretrained models, and large-scale resources are allowed. There is no model-parameter limit in the unconstrained track.
Jordanian, Lebanese, Palestinian, Syrian, Saudi, Omani, Yemeni, Egyptian, Sudanese, Libyan, Moroccan, Mauritanian, and Tunisian.
Modern Standard Arabic, Palestinian, Moroccan, Tunisian, Egyptian, Algerian, Lebanese, Yemeni, Omani, Saudi, and Libyan.
Egyptian, Emirati, Mauritanian, Moroccan, and Palestinian.
Systems are evaluated by the overall average across all countries. spBLEU is the primary metric for the leaderboard.
Systems are evaluated by the overall average across all countries. spBLEU is the primary metric for the leaderboard.
Systems are evaluated for span detection and error classification, with the main ranking determined by Labeled Span F1.
Training and development data, baseline code, and evaluation scripts are scheduled for June 1, 2026. Blind test data will be released on July 20, 2026.
Email alexandriax2026@gmail.com for task questions until the public mailing list is announced.