---
title: "Who cites Verifiably Effective Arabic Dialect Identification"
description: "33 papers of the Elamur Research library cite «Verifiably Effective Arabic Dialect Identification», found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/papers/darwish-2014-verifiably-effective-arabic-dialect-identification/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Verifiably Effective Arabic Dialect Identification](https://md.research.elamur.ai/free/en/papers/darwish-2014-verifiably-effective-arabic-dialect-identification/) / cited by

# Who cites «Verifiably Effective Arabic Dialect Identification»

33 papers of our library cite it (of the 149,439 whose bibliographies we read) · 30 with a page here, the most cited first · [← back to «Verifiably Effective Arabic Dialect Identification»](https://md.research.elamur.ai/free/en/papers/darwish-2014-verifiably-effective-arabic-dialect-identification/)

1. **[Computational Sociolinguistics: A Survey](https://md.research.elamur.ai/free/en/papers/nguyen-2016-computational-sociolinguistics-survey/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Dong Nguyen, A. Seza Doğruöz, Carolyn P. Rosé, et al.*2016 · 288 citations*
2. **[Discriminating between Similar Languages and Arabic Dialect Identification: A Report on the Third DSL Shared Task](https://md.research.elamur.ai/free/en/papers/malmasi-2016-discriminating-between-similar-languages/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Shervin Malmasi, Marcos Zampieri, Nikola Ljubešić, et al.*2016 · 287 citations*
3. **[Automatic Language Identification in Texts: A Survey](https://md.research.elamur.ai/free/en/papers/jauhiainen-2019-automatic-language-identification-texts/) [Journal of Artificial Intelligence Research](https://md.research.elamur.ai/free/en/venues/journal-of-artificial-intelligence-research/)**Tommi Jauhiainen, Marco Lui, Marcos Zampieri, et al.*2019 · 277 citations*
4. **[The MADAR Shared Task on Arabic Fine-Grained Dialect Identification](https://md.research.elamur.ai/free/en/papers/bouamor-2019-madar-shared-task-arabic-fine/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Houda Bouamor, Sabit Hassan, Nizar Habash*2019 · 220 citations*
5. **[Fine-Grained Arabic Dialect Identification](https://md.research.elamur.ai/free/en/papers/salameh-2018-fine-grained-arabic-dialect-identification/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Mohammad Salameh, Houda Bouamor, Nizar Habash*2018 · 192 citations*
6. **[Natural Language Processing for Dialectical Arabic: A Survey](https://md.research.elamur.ai/free/en/papers/shoufan-2015-natural-language-processing-dialectical-arabic/) [Workshop on Arabic Natural Language Processing](https://md.research.elamur.ai/free/en/venues/workshop-on-arabic-natural-language-processing/)**Abdulhadi Shoufan, Sumaya Alameri*2015 · 142 citations*
7. **[Using Twitter to Collect a Multi-Dialectal Corpus of Arabic](https://md.research.elamur.ai/free/en/papers/mubarak-2014-twitter-collect-multi-dialectal-corpus/) [EMNLP Workshop on Arabic Natural Language Processing (ANLP)](https://md.research.elamur.ai/free/en/venues/emnlp-workshop-on-arabic-natural-language-processing-anlp/)**Hamdy Mubarak, Kareem Darwish*2014 · 141 citations*
8. **[Deep Models for Arabic Dialect Identification on Benchmarked Data](https://md.research.elamur.ai/free/en/papers/elaraby-2018-deep-models-arabic-dialect-identification/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Mohamed Elaraby, Muhammad Abdul-Mageed*2018 · 85 citations*
9. [**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/)
10. **[Learning to Identify Arabic and German Dialects using Multiple Kernels](https://md.research.elamur.ai/free/en/papers/ionescu-2017-learning-identify-arabic-german-dialects/) [Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial)](https://md.research.elamur.ai/free/en/venues/vardial/)**Radu Tudor Ionescu, Andrei Butnaru*2017 · 64 citations*
11. **[DART: A Large Dataset of Dialectal Arabic Tweets](https://md.research.elamur.ai/free/en/papers/alsarsour-2018-dart-large-dataset-dialectal-arabic/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Israa Alsarsour, Esraa Mohamed, Reem Suwaileh, et al.*2018 · 60 citations*
12. **[Improved Arabic Dialect Classification with Social Media Data](https://md.research.elamur.ai/free/en/papers/huang-2015-improved-arabic-dialect-classification-social/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Fei Huang*2015 · 58 citations*
13. **[Multi-Dialect Arabic POS Tagging: A CRF Approach](https://md.research.elamur.ai/free/en/papers/darwish-2018-multi-dialect-arabic-pos-tagging/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Kareem Darwish, Hamdy Mubarak, Ahmed Abdelali, et al.*2018 · 57 citations*
14. **[UnibucKernel: An Approach for Arabic Dialect Identification Based on Multiple String Kernels](https://md.research.elamur.ai/free/en/papers/ionescu-2016-unibuckernel-approach-arabic-dialect-identification/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Radu Tudor Ionescu, Marius Popescu*2016 · 53 citations*
15. **[Character Level Convolutional Neural Network for Arabic Dialect Identification](https://md.research.elamur.ai/free/en/papers/ali-2018-character-level-convolutional-neural-network/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Mohamed Ali*2018 · 52 citations*
16. **[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*
17. **[Arabic Dialect Identification in Speech Transcripts](https://md.research.elamur.ai/free/en/papers/malmasi-2016-arabic-dialect-identification-speech-transcripts/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Shervin Malmasi, Marcos Zampieri*2016 · 50 citations*
18. [**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/)
19. **[ALDi: Quantifying the Arabic Level of Dialectness of Text](https://md.research.elamur.ai/free/en/papers/keleg-2023-aldi-quantifying-arabic-level-dialectness/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Amr Keleg, Sharon Goldwater, Walid Magdy*2023 · 39 citations*
20. **[UnibucKernel Reloaded: First Place in Arabic Dialect Identification for the Second Year in a Row](https://md.research.elamur.ai/free/en/papers/butnaru-2018-unibuckernel-reloaded-first-place-arabic/) [Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial)](https://md.research.elamur.ai/free/en/venues/vardial/)**Andrei Butnaru, Radu Tudor Ionescu*2018 · 39 citations*
21. **[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*
22. **[QCRI @ DSL 2016: Spoken Arabic Dialect Identification Using Textual Features](https://md.research.elamur.ai/free/en/papers/eldesouki-2016-qcri-dsl-2016-spoken-arabic/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Mohamed Eldesouki, Fahim Dalvi, Hassan Sajjad, et al.*2016 · 32 citations*
23. [**Automatic Arabic Dialect Identification Systems for Written Texts: A Survey arXiv:2009.12622**Maha J. Althobaiti*2020 · 24 citations*](https://md.research.elamur.ai/free/en/papers/althobaiti-2020-automatic-arabic-dialect-identification-systems/)
24. **[Discrimination between Similar Languages, Varieties and Dialects using CNN- and LSTM-based Deep Neural Networks](https://md.research.elamur.ai/free/en/papers/guggilla-2016-discrimination-between-similar-languages-varieties/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Chinnappa Guggilla*2016 · 18 citations*
25. [**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/)
26. **[Arabic Dialects Identification for All Arabic countries](https://md.research.elamur.ai/free/en/papers/aliwy-2020-arabic-dialects-identification-all-arabic/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Ahmed Aliwy, Hawraa Taher, Zena AboAltaheen*2020 · 11 citations*
27. **[Best Practices for Crowdsourcing Dialectal Arabic Speech Transcription](https://md.research.elamur.ai/free/en/papers/wray-2015-best-practices-crowdsourcing-dialectal-arabic/) [Workshop on Arabic Natural Language Processing](https://md.research.elamur.ai/free/en/venues/workshop-on-arabic-natural-language-processing/)**Samantha Wray, Hamdy Mubarak, Ahmed Ali*2015 · 11 citations*
28. **[Classification of Closely Related Sub-dialects of Arabic Using Support-Vector Machines](https://md.research.elamur.ai/free/en/papers/wray-2018-classification-closely-related-sub-dialects/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Samantha Wray*2018 · 9 citations*
29. **[The QMUL/HRBDT contribution to the NADI Arabic Dialect Identification Shared Task](https://md.research.elamur.ai/free/en/papers/aloraini-2020-qmul-hrbdt-contribution-nadi-arabic/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Abdulrahman Aloraini, Massimo Poesio, Ayman Alhelbawy*2020 · 4 citations*
30. **[IUNADI at NADI 2023 shared task: Country-level Arabic Dialect Classification in Tweets for the Shared Task NADI 2023](https://md.research.elamur.ai/free/en/papers/hatekar-2023-iunadi-nadi-2023-shared-task/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Yash A. Hatekar, Muhammad S. Abdo*2023 · 3 citations*

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

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