MenakBERT -- Hebrew Diacriticizer
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Abstract (arXiv)
Diacritical marks in the Hebrew language give words their vocalized form. The task of adding diacritical marks to plain Hebrew text is still dominated by a system that relies heavily on human-curated resources. Recent models trained on diacritized Hebrew texts still present a gap in performance. We use a recently developed char-based PLM to narrowly bridge this gap. Presenting MenakBERT, a character level transformer pretrained on Hebrew text and fine-tuned to produce diacritical marks for Hebrew sentences. We continue to show how finetuning a model for diacritizing transfers to a task such as part of speech tagging.
Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 4 of its 5 references that are in the map. First posted on arXiv 3 Oct 2024.
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4 of 5 references.
References · 4
- 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
- 2019SpanBERT: Improving Pre-training by Representing and Predicting Spanscited by 832
- 2022Breaking Character: Are Subwords Good Enough for MRLs After All?cited by 13
- 2021Restoring Hebrew Diacritics Without a Dictionarycited by 10
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