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arXiv AI By Ali Abusaleh, Bhuvanesh Verma, Alexander Mehler

TTLab at AlexandriaX-2026: A Fine-Tuned Surface Tagger for Arabic Machine-Translation Error-Span Detection and Classification

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TTLab submitted a system for the AlexandriaX-2026 Subtask 3 on Arabic machine‑translation error‑span detection and classification. The approach treats the task as token‑level classification over surface forms, using focal loss with class weighting and dialect‑specific decoding thresholds to address label imbalance. MARBERTv2, among six Arabic pre‑trained encoders, achieved the best performance, ranking third overall, though classification of rare error types remains difficult, indicating a need for data augmentation.

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