A Multitask Learning Approach for Diacritic Restoration
Table 4: WER performance for different diacritic restoration models when passivation is considered. Bold numbers represent the highest score per row.
['[BOLD] Task', '[BOLD] With Pass', '[BOLD] Without Pass']
; Diab et al. To examine its impact, we further divide verbs in the POS tagset into passive and active, increasing the size by one. We notice improvements, in some combinations of tasks, across all evaluation metrics compared to the pure POS tagging, showing its importance in diacritic restoration models.