---
title: "Who cites Morphologically Annotated Corpora for Seven…"
description: "The papers of the Elamur Research library that cite «Morphologically Annotated Corpora for Seven Arabic Dialects: Taizi, Sanaani, Najdi, Jordanian…"
canonical: "https://research.elamur.ai/free/en/papers/aclbulk-2019-alshargi-morphologically-annotated-corpora-seven-arabic/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/aclbulk-2019-alshargi-morphologically-annotated-corpora-seven-arabic/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Morphologically Annotated Corpora for Seven…](https://md.research.elamur.ai/free/en/papers/aclbulk-2019-alshargi-morphologically-annotated-corpora-seven-arabic/) / cited by

# Who cites «Morphologically Annotated Corpora for Seven Arabic Dialects: Taizi, Sanaani, Najdi, Jordanian, Syrian, Iraqi and Moroccan»

12 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.research.elamur.ai/free/en/papers/aclbulk-2019-alshargi-morphologically-annotated-corpora-seven-arabic/)

1. [A Comprehensive Full-Form Lexicon for Arabic NLP and Speech Technology](https://md.research.elamur.ai/free/en/papers/lingbulk-2026-haralambous-comprehensive-full-form-lexicon-arabic/) *— our card · 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference*
2. [Bulbul: A Dataset for Dialectal Arabic Speech Recognition](https://arxiv.org/abs/2608.21950) *— 2026 · arXiv:2608.21950*
3. [Lemmatizing Dialectal Arabic with Sequence-to-Sequence Models](https://aclanthology.org/2025.arabicnlp-main.10/) *— 2025 · Proceedings of The Third Arabic Natural Language Processing Conference*
4. [Revisiting Common Assumptions about Arabic Dialects in NLP](https://aclanthology.org/2025.acl-long.166/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
5. [Noor-Ghateh: A Benchmark Dataset for Evaluating Arabic Word Segmenters in Hadith Domain](https://arxiv.org/abs/2307.09630) *— 2023 · arXiv:2307.09630*
6. [Lisan: Yemeni, Iraqi, Libyan, and Sudanese Arabic Dialect Copora with Morphological Annotations](https://arxiv.org/abs/2212.06468) *— 2022 · arXiv:2212.06468*
7. [Maknuune: A Large Open Palestinian Arabic Lexicon](https://aclanthology.org/2022.wanlp-1.13/) *— 2022 · Proceedings of the Seventh Arabic Natural Language Processing Workshop (WANLP)*
8. [No Language Left Behind: Scaling Human-Centered Machine Translation](https://arxiv.org/abs/2207.04672) *— 2022 · arXiv:2207.04672*
9. [The Bahrain Corpus: A Multi-genre Corpus of Bahraini Arabic](https://aclanthology.org/2022.lrec-1.251/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
10. [Weakly and Semi-Supervised Learning for Arabic Text Classification using Monodialectal Language Models](https://aclanthology.org/2022.wanlp-1.24/) *— 2022 · Proceedings of the Seventh Arabic Natural Language Processing Workshop (WANLP)*
11. [Morphological Analysis and Disambiguation for Gulf Arabic: The Interplay between Resources and Methods](https://md.research.elamur.ai/free/en/papers/lingbulk-2020-khalifa-morphological-analysis-disambiguation-gulf-arabic/) *— our card · 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
12. [A Little Linguistics Goes a Long Way: Unsupervised Segmentation with Limited Language Specific Guidance](https://aclanthology.org/W19-4214/) *— 2019 · Proceedings of the 16th Workshop on Computational Research in Phonetics, Phonology, and Morphology*
