MenakBERT -- Hebrew Diacriticizer
Computation and Language
2024-10-04 v1 Machine Learning
Abstract
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.
Cite
@article{arxiv.2410.02417,
title = {MenakBERT -- Hebrew Diacriticizer},
author = {Ido Cohen and Jacob Gidron and Idan Pinto},
journal= {arXiv preprint arXiv:2410.02417},
year = {2024}
}
Comments
Published at ISCOL2022 as a poster