---
title: "Who cites Learning from Relatives: Unified — 11 citing papers"
description: "11 papers of the Elamur Research library cite «Learning from Relatives: Unified Dialectal Arabic Segmentation», found in their bibliographies…"
canonical: "https://research.elamur.ai/free/en/papers/samih-2017-learning-relatives-unified-dialectal-arabic/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Learning from Relatives: Unified Dialectal Arabic…](https://md.research.elamur.ai/free/en/papers/samih-2017-learning-relatives-unified-dialectal-arabic/) / cited by

# Who cites «Learning from Relatives: Unified Dialectal Arabic Segmentation»

11 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 «Learning from Relatives: Unified Dialectal Arabic Segmentation»](https://md.research.elamur.ai/free/en/papers/samih-2017-learning-relatives-unified-dialectal-arabic/)

1. **[Arabic Offensive Language on Twitter: Analysis and Experiments](https://md.research.elamur.ai/free/en/papers/mubarak-2021-arabic-offensive-language-twitter-analysis/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Hamdy Mubarak, Ammar Rashed, Kareem Darwish, et al.*2021 · 165 citations*
2. **[Morphosyntactic Tagging with Pre-trained Language Models for Arabic and its Dialects](https://md.research.elamur.ai/free/en/papers/inoue-2022-morphosyntactic-tagging-pre-trained-language/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Go Inoue, Salam Khalifa, Nizar Habash*2022 · 58 citations*
3. **[QADI: Arabic Dialect Identification in the Wild](https://md.research.elamur.ai/free/en/papers/abdelali-2021-qadi-arabic-dialect-identification-wild/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Ahmed Abdelali, Hamdy Mubarak, Younes Samih, et al.*2021 · 50 citations*
4. [**Arabic Dialect Identification in the Wild arXiv:2005.06557**Ahmed Abdelali, Hamdy Mubarak, Younes Samih, et al.*2020 · 47 citations*](https://md.research.elamur.ai/free/en/papers/abdelali-2020-arabic-dialect-identification-wild/)
5. **[Part-of-Speech Tagging for Arabic Gulf Dialect Using Bi-LSTM](https://md.research.elamur.ai/free/en/papers/alharbi-2018-part-speech-tagging-arabic-gulf/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Randah Alharbi, Walid Magdy, Kareem Darwish, et al.*2018 · 26 citations*
6. [**Morphological Analysis and Disambiguation for Gulf Arabic: The Interplay between Resources and Methods**Salam Khalifa, Nasser Zalmout, Nizar Habash*2020 · 25 citations*](https://md.research.elamur.ai/free/en/papers/khalifa-2020-morphological-analysis-disambiguation-gulf-arabic/)
7. **[Morphology-aware Word-Segmentation in Dialectal Arabic Adaptation of Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/tawfik-2019-morphology-aware-word-segmentation-dialectal/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Ahmed Tawfik, Mahitab Emam, Khaled Essam, et al.*2019 · 18 citations*
8. **[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*
9. **[Improving POS Tagging for Arabic Dialects on Out-of-Domain Texts](https://md.research.elamur.ai/free/en/papers/mokh-2022-improving-pos-tagging-arabic-dialects/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Noor Abo Mokh, Daniel Dakota, Sandra Kübler*2022 · 2 citations*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/samih-2017-learning-relatives-unified-dialectal-arabic/) — Learning from Relatives: Unified Dialectal Arabic Segmentation