@inproceedings{4691e9818c4142ef922e869a1ec4489a,
title = "Restoring Hebrew DiacriticsWithout a Dictionary",
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 curationdependent 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.",
author = "Elazar Gershuni and Yuval Pinter",
note = "Publisher Copyright: {\textcopyright} Findings of the Association for Computational Linguistics: NAACL 2022 - Findings.; 2022 Findings of the Association for Computational Linguistics: NAACL 2022 ; Conference date: 10-07-2022 Through 15-07-2022",
year = "2022",
month = jan,
day = "1",
language = "American English",
series = "Findings of the Association for Computational Linguistics: NAACL 2022",
publisher = "Association for Computational Linguistics (ACL)",
pages = "1010--1018",
booktitle = "Findings of the Association for Computational Linguistics",
address = "United States",
}