---
title: "Who cites Annotating and Learning — 10 citing papers"
description: "10 papers of the Elamur Research library cite «Annotating and Learning Morphological Segmentation of Egyptian Colloquial Arabic», found in their…"
canonical: "https://research.elamur.ai/free/en/papers/mohamed-2012-annotating-learning-morphological-segmentation-egyptian/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Annotating and Learning Morphological…](https://md.research.elamur.ai/free/en/papers/mohamed-2012-annotating-learning-morphological-segmentation-egyptian/) / cited by

# Who cites «Annotating and Learning Morphological Segmentation of Egyptian Colloquial Arabic»

10 papers of our library cite it (of the 149,439 whose bibliographies we read) · 9 with a page here, the most cited first · [← back to «Annotating and Learning Morphological Segmentation of Egyptian Colloquial Arabic»](https://md.research.elamur.ai/free/en/papers/mohamed-2012-annotating-learning-morphological-segmentation-egyptian/)

1. [**A Morphological Analyzer for Egyptian Arabic**Nizar Habash, Ramy Eskander, Abdelati Hawwari*2012 · 205 citations*](https://md.research.elamur.ai/free/en/papers/habash-2012-morphological-analyzer-egyptian-arabic/)
2. **[Morphological Analysis and Disambiguation for Dialectal Arabic](https://md.research.elamur.ai/free/en/papers/habash-2013-morphological-analysis-disambiguation-dialectal-arabic/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Nizar Habash, Ryan Roth, Owen Rambow, et al.*2013 · 192 citations*
3. [**A Neural Architecture for Dialectal Arabic Segmentation**Younes Samih, Mohammed Attia, Mohamed Eldesouki, et al.*2017 · 71 citations*](https://md.research.elamur.ai/free/en/papers/samih-2017-neural-architecture-dialectal-arabic-segmentation/)
4. [**Noise-Robust Morphological Disambiguation for Dialectal Arabic**Nasser Zalmout, Alexander Erdmann, Nizar Habash*2018 · 43 citations*](https://md.research.elamur.ai/free/en/papers/zalmout-2018-noise-robust-morphological-disambiguation-dialectal/)
5. **[Learning from Relatives: Unified Dialectal Arabic Segmentation](https://md.research.elamur.ai/free/en/papers/samih-2017-learning-relatives-unified-dialectal-arabic/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Younes Samih, Mohamed Eldesouki, Mohammed Attia, et al.*2017 · 37 citations*
6. **[Creating Resources for Dialectal Arabic from a Single Annotation: A Case Study on Egyptian and Levantine](https://md.research.elamur.ai/free/en/papers/eskander-2016-creating-resources-dialectal-arabic-single/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Ramy Eskander, Nizar Habash, Owen Rambow, et al.*2016 · 28 citations*
7. **[POS-tagging of Tunisian Dialect Using Standard Arabic Resources and Tools](https://md.research.elamur.ai/free/en/papers/hamdi-2015-pos-tagging-tunisian-dialect-standard/) [Workshop on Arabic Natural Language Processing](https://md.research.elamur.ai/free/en/venues/workshop-on-arabic-natural-language-processing/)**Ahmed Hamdi, Alexis Nasr, Nizar Habash, et al.*2015 · 20 citations*
8. [**Arabic Multi-Dialect Segmentation: bi-LSTM-CRF vs. SVM**Mohamed Eldesouki, Younes Samih, Ahmed Abdelali, et al.*2017 · 16 citations*](https://md.research.elamur.ai/free/en/papers/eldesouki-2017-arabic-multi-dialect-segmentation-bi/)
9. **[Segmentation for Domain Adaptation in Arabic](https://md.research.elamur.ai/free/en/papers/attia-2019-segmentation-domain-adaptation-arabic/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Mohammed Attia, Ali Elkahky*2019 · 5 citations*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/mohamed-2012-annotating-learning-morphological-segmentation-egyptian/) — Annotating and Learning Morphological Segmentation of Egyptian Colloquial Arabic