---
title: "Who cites Morphologically Annotated Corpora for Seven…"
description: "12 papers of the Elamur Research library cite «Morphologically Annotated Corpora for Seven Arabic Dialects: Taizi, Sanaani, Najdi, Jordanian, Syrian…"
canonical: "https://research.elamur.ai/free/en/papers/alshargi-2019-morphologically-annotated-corpora-seven-arabic/cited-by/"
---
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# Who cites «Morphologically Annotated Corpora for Seven Arabic Dialects: Taizi, Sanaani, Najdi, Jordanian, Syrian, Iraqi and Moroccan»

12 papers of our library cite it (of the 140,884 whose bibliographies we read) · 6 with a page here, the most cited first · [← the paper](https://md.research.elamur.ai/free/en/papers/alshargi-2019-morphologically-annotated-corpora-seven-arabic/)

1. [**Morphological Analysis and Disambiguation for Gulf Arabic: The Interplay between Resources and Methods**Salam Khalifa, Nasser Zalmout, Nizar Habash*2020 · 24 citations*](https://md.research.elamur.ai/free/en/papers/khalifa-2020-morphological-analysis-disambiguation-gulf-arabic/)
2. [**Lisan: Yemeni, Iraqi, Libyan, and Sudanese Arabic Dialect Copora with Morphological Annotations**Mustafa Jarrar, Fadi A Zaraket, Tymaa Hammouda, et al.*2022 · 8 citations*](https://md.research.elamur.ai/free/en/papers/jarrar-2022-lisan-yemeni-iraqi-libyan-sudanese/)
3. [**The Bahrain Corpus: A Multi-genre Corpus of Bahraini Arabic**Dana Abdulrahim, Go Inoue, Latifa Shamsan, et al.*2022 · 2 citations*](https://md.research.elamur.ai/free/en/papers/abdulrahim-2022-bahrain-corpus-multi-genre-corpus/)
4. [**Bulbul: A Dataset for Dialectal Arabic Speech Recognition**Ahmed Ashraf, Aisha Alansari, Fadel Al Abbas, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/ashraf-2026-bulbul-dataset-dialectal-arabic-speech/)
5. [**Noor-Ghateh: A Benchmark Dataset for Evaluating Arabic Word Segmenters in Hadith Domain**Huda AlShuhayeb, Behrouz Minaei-Bidgoli, Mohammad E. Shenassa, et al.*2023 · 1 citation*](https://md.research.elamur.ai/free/en/papers/alshuhayeb-2023-noor-ghateh-benchmark-dataset-evaluating/)
6. [**A Comprehensive Full-Form Lexicon for Arabic NLP and Speech Technology**Yannis Haralambous, Jack Halpern*2026*](https://md.research.elamur.ai/free/en/papers/haralambous-2026-comprehensive-full-form-lexicon-arabic/)

6 more papers of our library cite it; they have no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/papers/alshargi-2019-morphologically-annotated-corpora-seven-arabic/) — Morphologically Annotated Corpora for Seven Arabic Dialects: Taizi, Sanaani, Najdi, Jordanian, Syrian, Iraqi and Moroccan
