@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://preview.aclanthology.org/add-emnlp-2024-awards/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."
}