Elamur Research⌕
☰
home / papers / SHAKKIL: An Automatic Diacritization System for… / cited by

Who cites «SHAKKIL: An Automatic Diacritization System for Modern Standard Arabic Texts»

3 papers of our library cite it (of the 149,439 whose bibliographies we read) · 2 with a page here, the most cited first · ← back to «SHAKKIL: An Automatic Diacritization System for Modern Standard Arabic Texts»

  1. Arabic Text Diacritization Using Deep Neural NetworksarXiv:1905.01965Ali Fadel, Ibraheem Tuffaha, Bara' Al-Jawarneh, et al.2019 · 71 citations
  2. Neural Arabic Text Diacritization: State of the Art Results and a Novel Approach for Machine TranslationAli Fadel, Ibraheem Tuffaha, Bara' Al-Jawarneh, et al.2019 · 32 citations

1 more paper of our library cites it; it has no page here yet.

This page in Markdown → https://md.research.elamur.ai/free/en/papers/fashwan-2017-shakkil-automatic-diacritization-system-modern/cited-by/