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Nachum Dershowitz

10 paper cards in Mova's library · 2011–2025

Nachum Dershowitz wrote 10 of the papers Mova reads, in 2011–2025; often with Kfir Bar, Moshe Lavee, Alex Zhicharevich.

OpenAlex · ORCID · h-index 43 · 9037 citations · 540 works — openalex, 2026-10-18

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology · ORCID

Papers

  1. Automatic Text Segmentation of Ancient and Historic Hebrew (2025)
    Unpunctuated Rabbinic and historic Hebrew and Aramaic texts run to hundreds of words without a full stop, and most neural tools need input cut into chunks.
  2. Building Patient Journeys in Hebrew: A Language Model for Clinical Timeline Extraction (2025)
    The authors continue the pre-training of DictaBERT 2.0 on about 5 million de-identified Hebrew hospital records (about 0.55 billion words).
  3. Systematic Textual Availability of Manuscripts (2025)
    Hebrew manuscripts are many, but handwritten text recognition still does not turn them into usable text at scale.
  4. The Development of Hebrew in Antiquity – A Computational Linguistic Study (2025)
    This is a project report on Qumran Hebrew (QH), the language of the Dead Sea Scrolls, and whether it is a literary imitation of Biblical Hebrew or a spoken dialect that continues it.
  5. Code-Switching and Back-Transliteration Using a Bilingual Model (2024)
    The paper handles Judeo-Arabic, Arabic written in Hebrew letters with Hebrew and Aramaic borrowings, in two steps.
  6. How Much Does Lookahead Matter for Disambiguation? Partial Arabic Diacritization Case Study (2022)
    The authors ask which short vowels a reader of unpointed Arabic really needs, and they print only those. Two neural diacritizers are trained on the Tashkeela corpus: a unidirectional LSTM that sees only the words already read, and a transformer that sees the whole sentence. Where the two disagree, the whole-sentence…
  7. Style Classification of Rabbinic Literature for Detection of Lost Midrash Tanhuma Material (2022)
    The authors classify rabbinic passages by genre (Mishnah, Midrash Halakhah, Jerusalem and Babylonian Talmud, Midrash Aggadah, Tanhuma-Yelammedenu) using 50-word blocks from Sefaria.
  8. Transliteration of Judeo-Arabic Texts into Arabic Script Using Recurrent Neural Networks (2020)
    Judeo-Arabic texts are written in Hebrew letters, and converting them to Arabic script is mostly letter-for-letter, but the letter mapping is ambiguous (alef, yod, hamza, alif maqsura, missing shadda and tanwin).
  9. Language Classification and Segmentation of Noisy Documents in Hebrew Scripts (2012)
    Jewish manuscripts from the Cairo Genizah mix Hebrew, Aramaic, Judeo-Arabic and other languages written in the Hebrew script, often switching language several times on one page, and the text they come with is the output of noisy OCR on handwriting.
  10. Unsupervised Decomposition of a Document into Authorial Components (2011)
    The question is whether the authorial layers of a composite text can be separated without any labelled example.

Co-authors (32)

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