AKARROUCH at DialectSentEval 2026: A Generate-and-Rerank Approach for Arabic Dialect Sentiment Swapping

Mohamed Akarrouch


Abstract
We describe the AKARROUCH submission to DialectSentEval 2026 Subtask 2, which requires reversing the sentiment of an Arabic dialect sentence while preserving its content. We fine-tune AraT5v2 for direction-controlled generation and use it to produce multiple candidates. We then rerank these candidates using CAMeLBERT target-sentiment probabilities and source-to-candidate chrF. The system ranked second in the official evaluation, achieving 78.51% sentiment accuracy, 49.82 BLEU, and 70.12 chrF.
Anthology ID:
2026.arabicnlp-sharedtasks.174
Volume:
Proceedings of The Fourth Arabic Natural Language Processing Conference: Shared Tasks
Month:
October
Year:
2026
Address:
Budapest, Hungary
Editors:
Muhammad Abdul-Mageed, Tamer Elsayed, Houda Bouamor, Samhaa El-Beltagy, Hend Al-Khalifa, Ahmed Abdelali, AbdelRahim Elmadany, Abdellah El Mekki, Kareem Darwish, Sakhar Alkhereyf, Hamzah Luqman, Salam Khalifa, Samar Magdy, Zaid Alyafeai, Injy Hamed, Wajdi Zaghouani, Imed Zitouni
Venue:
ArabicNLP
SIG:
SIGARAB
Publisher:
Association for Computational Linguistics
Note:
Pages:
1394–1397
Language:
URL:
https://aclanthology.org/2026.arabicnlp-sharedtasks.174/
DOI:
Bibkey:
Cite (ACL):
Mohamed Akarrouch. 2026. AKARROUCH at DialectSentEval 2026: A Generate-and-Rerank Approach for Arabic Dialect Sentiment Swapping. In Proceedings of The Fourth Arabic Natural Language Processing Conference: Shared Tasks, pages 1394–1397, Budapest, Hungary. Association for Computational Linguistics.
Cite (Informal):
AKARROUCH at DialectSentEval 2026: A Generate-and-Rerank Approach for Arabic Dialect Sentiment Swapping (Akarrouch, ArabicNLP 2026)
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PDF:
https://aclanthology.org/2026.arabicnlp-sharedtasks.174.pdf