@inproceedings{gershuni-pinter-2022-restoring,
title = "Restoring {H}ebrew Diacritics Without a Dictionary",
author = "Gershuni, Elazar and
Pinter, Yuval",
editor = "Carpuat, Marine and
de Marneffe, Marie-Catherine and
Meza Ruiz, Ivan Vladimir",
booktitle = "Findings of the Association for Computational Linguistics: NAACL 2022",
month = jul,
year = "2022",
address = "Seattle, United States",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2022.findings-naacl.75",
doi = "10.18653/v1/2022.findings-naacl.75",
pages = "1010--1018",
abstract = "We demonstrate that it is feasible to accurately diacritize Hebrew script without any human-curated resources other than plain diacritized text. We present Nakdimon, a two-layer character-level LSTM, that performs on par with much more complicated curation-dependent systems, across a diverse array of modern Hebrew sources. The model is accompanied by a training set and a test set, collected from diverse sources.",
}
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%0 Conference Proceedings
%T Restoring Hebrew Diacritics Without a Dictionary
%A Gershuni, Elazar
%A Pinter, Yuval
%Y Carpuat, Marine
%Y de Marneffe, Marie-Catherine
%Y Meza Ruiz, Ivan Vladimir
%S Findings of the Association for Computational Linguistics: NAACL 2022
%D 2022
%8 July
%I Association for Computational Linguistics
%C Seattle, United States
%F gershuni-pinter-2022-restoring
%X We demonstrate that it is feasible to accurately diacritize Hebrew script without any human-curated resources other than plain diacritized text. We present Nakdimon, a two-layer character-level LSTM, that performs on par with much more complicated curation-dependent systems, across a diverse array of modern Hebrew sources. The model is accompanied by a training set and a test set, collected from diverse sources.
%R 10.18653/v1/2022.findings-naacl.75
%U https://aclanthology.org/2022.findings-naacl.75
%U https://doi.org/10.18653/v1/2022.findings-naacl.75
%P 1010-1018
Markdown (Informal)
[Restoring Hebrew Diacritics Without a Dictionary](https://aclanthology.org/2022.findings-naacl.75) (Gershuni & Pinter, Findings 2022)
ACL
- Elazar Gershuni and Yuval Pinter. 2022. Restoring Hebrew Diacritics Without a Dictionary. In Findings of the Association for Computational Linguistics: NAACL 2022, pages 1010–1018, Seattle, United States. Association for Computational Linguistics.