NADI 2026 TASK 4 AUTOMATIC SPEECH TRANSLATION
Organizer: harounelleuch; 0 submissions; The Automatic Speech Translation subtask evaluates systems on their ability to translate spoken Arabic dialects directly into English. Give...
Organizer harounelleuchAbout this hackathon
The Automatic Speech Translation subtask evaluates systems on their ability to translate spoken Arabic dialects directly into English. Given an input audio recording, participants must generate the corresponding English translation. The task covers eight Arabic dialects: Algerian, Egyptian, Jordanian, Mauritanian, Moroccan, Palestinian, Emirati, and Yemeni Arabic. Submissions are evaluated primarily using corpus-level BLEU and chrF. Per-dialect scores are also reported. For more details, visit the **official NADI 2026 page**: https://nadi.dlnlp.ai/2026/ The **dataset** is available here: https://huggingface.co/datasets/fbougares/NADI_Whitehouse_AST_2026
Tracks
General Track
Organizer: harounelleuch; 0 submissions; The Automatic Speech Translation subtask evaluates systems on their ability to translate spoken Arabic dialects directly into English. Given an input audio recording, participants must generate the corresponding English translation. The task covers eight Arabic dialects: Algerian, Egyptian, Jordanian, Mauritanian, Moroccan, Palestinian, Emirati, and Yemeni Arabic. Submissions are evaluated primarily using corpus-level BLEU and chrF. Per-dialect scores are also reported. For more details, visit the **official NADI 2026 page**: https://nadi.dlnlp.ai/2026/ The **dataset** is available here: https://huggingface.co/datasets/fbougares/NADI_Whitehou
Prizes
Project Prize
Organizer: harounelleuch; 0 submissions; The Automatic Speech Translation subtask evaluates systems on their ability to translate spoken Arabic dialects directly into English. Given an input audio recording, participants must generate the corresponding English translation. The task covers eight Arabic dialects: Algerian, Egyptian, Jordanian, Mauritanian, Moroccan, Palestinian, Emirati, and Yemeni Arabic. Submissions are evaluated primarily using corpus-level BLEU and chrF. Per-dialect scores are also reported. For more details, visit the **official NADI 2026 page**: https://nadi.dlnlp.ai/2026/ The **dataset** is available here: https://huggingface.co/datasets/fbougares/NADI_Whitehou
Schedule
Jun 15, 04:00 PM
Tags
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