mlsanityData to 7 Oct 2026

Restoring Hebrew Diacritics Without a Dictionary

arXiv 2105.05209 ↗First posted 11 May 2021cs.CLcited by 10

Not on the map. Why?

Abstract (arXiv)

We demonstrate that it is feasible to 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.

Key facts. Cited by 10 papers in the map (data through 7 Oct 2026). Builds on 9 of its 25 references that are in the map. First posted on arXiv 11 May 2021.

Builds on

9 of 25 references.

References · 9

  1. 2017Attention Is All You Needcited by 59,932
  2. 2014Adam: A Method for Stochastic Optimizationcited by 36,960
  3. 2020Language (Technology) is Power: A Critical Survey of "Bias" in NLPcited by 951
  4. 2015Cyclical Learning Rates for Training Neural Networkscited by 627
  5. 2017Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraintscited by 420
  6. 2016Multilingual Part-of-Speech Tagging with Bidirectional Long Short-Term Memory Models and Auxiliary Losscited by 30
  7. 2019Filling Gender & Number Gaps in Neural Machine Translation with Black-box Context Injectioncited by 27
  8. 2019What's Wrong with Hebrew NLP? And How to Make it Rightcited by 16
  9. 2020Nakdan: Professional Hebrew Diacritizercited by 5

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2022: 1; 2023: 0; 2024: 2; 2025: 5; 2026: 2.

10 papers.