D-Nikud: Enhancing Hebrew Diacritization with LSTM and Pretrained Models
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arXiv
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| Auteurs principaux: | , |
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| Format: | Preprint |
| Publié: |
2024
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| _version_ | 1866916111691284480 |
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| author | Rosenthal, Adi Shaked, Nadav |
| author_facet | Rosenthal, Adi Shaked, Nadav |
| contents | D-Nikud, a novel approach to Hebrew diacritization that integrates the strengths of LSTM networks and BERT-based (transformer) pre-trained model. Inspired by the methodologies employed in Nakdimon, we integrate it with the TavBERT pre-trained model, our system incorporates advanced architectural choices and diverse training data. Our experiments showcase state-of-the-art results on several benchmark datasets, with a particular emphasis on modern texts and more specified diacritization like gender. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2402_00075 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | D-Nikud: Enhancing Hebrew Diacritization with LSTM and Pretrained Models Rosenthal, Adi Shaked, Nadav Computation and Language D-Nikud, a novel approach to Hebrew diacritization that integrates the strengths of LSTM networks and BERT-based (transformer) pre-trained model. Inspired by the methodologies employed in Nakdimon, we integrate it with the TavBERT pre-trained model, our system incorporates advanced architectural choices and diverse training data. Our experiments showcase state-of-the-art results on several benchmark datasets, with a particular emphasis on modern texts and more specified diacritization like gender. |
| title | D-Nikud: Enhancing Hebrew Diacritization with LSTM and Pretrained Models |
| topic | Computation and Language |
| url | https://arxiv.org/abs/2402.00075 |