---
title: "Who cites Spoken Arabic Dialect — 45 citing papers"
description: "45 papers of the Elamur Research library cite «Spoken Arabic Dialect Identification Using Phonotactic Modeling», found in their bibliographies…"
canonical: "https://research.elamur.ai/free/en/papers/biadsy-2009-spoken-arabic-dialect-identification-phonotactic/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/biadsy-2009-spoken-arabic-dialect-identification-phonotactic/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Spoken Arabic Dialect Identification Using…](https://md.research.elamur.ai/free/en/papers/biadsy-2009-spoken-arabic-dialect-identification-phonotactic/) / cited by

# Who cites «Spoken Arabic Dialect Identification Using Phonotactic Modeling»

45 papers of our library cite it (of the 149,439 whose bibliographies we read) · 39 with a page here, the most cited first · [← back to «Spoken Arabic Dialect Identification Using Phonotactic Modeling»](https://md.research.elamur.ai/free/en/papers/biadsy-2009-spoken-arabic-dialect-identification-phonotactic/)

1. **[Arabic Dialect Identification](https://md.research.elamur.ai/free/en/papers/zaidan-2014-arabic-dialect-identification/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Omar F. Zaidan, Chris Callison-Burch*2014 · 437 citations*
2. **[The Arabic Online Commentary Dataset: an Annotated Dataset of Informal Arabic with High Dialectal Content](https://md.research.elamur.ai/free/en/papers/zaidan-2011-arabic-online-commentary-dataset-annotated/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Omar F. Zaidan, Chris Callison-Burch*2011 · 288 citations*
3. **[Sentence Level Dialect Identification in Arabic](https://md.research.elamur.ai/free/en/papers/elfardy-2013-sentence-level-dialect-identification-arabic/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Heba Elfardy, Mona Diab*2013 · 191 citations*
4. **[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*
5. [**Automatic Identification of Arabic Language Varieties and Dialects in Social Media Proceedings of the Second Workshop on Natural Language Processing for Social Media (SocialNLP)**Fatiha Sadat, Farzindar Kazemi, Atefeh Farzindar*2014 · 120 citations*](https://md.research.elamur.ai/free/en/papers/sadat-2014-automatic-identification-arabic-language-varieties/)
6. **[AIDA: Identifying Code Switching in Informal Arabic Text](https://md.research.elamur.ai/free/en/papers/elfardy-2014-aida-identifying-code-switching-informal/) [Workshop on Computational Approaches to Code Switching](https://md.research.elamur.ai/free/en/venues/workshop-on-computational-approaches-to-code-switching/)**Heba Elfardy, Mohamed Al-Badrashiny, Mona Diab*2014 · 76 citations*
7. [**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/)
8. **[Improving the Arabic Pronunciation Dictionary for Phone and Word Recognition with Linguistically-Based Pronunciation Rules](https://md.research.elamur.ai/free/en/papers/biadsy-2009-improving-arabic-pronunciation-dictionary-phone/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Fadi Biadsy, Nizar Habash, Julia Hirschberg*2009 · 67 citations*
9. **[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*
10. **[Arabic Dialect Identification in the Context of Bivalency and Code-Switching](https://md.research.elamur.ai/free/en/papers/haj-2018-arabic-dialect-identification-context-bivalency/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Mahmoud El-Haj, Paul Rayson, Mariam Aboelezz*2018 · 60 citations*
11. **[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*
12. **[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*
13. **[AIDA2: A Hybrid Approach for Token and Sentence Level Dialect Identification in Arabic](https://md.research.elamur.ai/free/en/papers/badrashiny-2015-aida2-hybrid-approach-token-sentence/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Mohamed Al-Badrashiny, Heba Elfardy, Mona Diab*2015 · 50 citations*
14. **[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*
15. **[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*
16. **[ADIDA: Automatic Dialect Identification for Arabic](https://md.research.elamur.ai/free/en/papers/obeid-2019-adida-automatic-dialect-identification-arabic/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Ossama Obeid, Mohammad Salameh, Houda Bouamor, et al.*2019 · 28 citations*
17. **[Phonetic Inventory for an Arabic Speech Corpus](https://md.research.elamur.ai/free/en/papers/halabi-2016-phonetic-inventory-arabic-speech-corpus/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Nawar Halabi, Mike Wald*2016 · 28 citations*
18. **[Arabic Dialect Identification for Travel and Twitter Text](https://md.research.elamur.ai/free/en/papers/mishra-2019-arabic-dialect-identification-travel-twitter/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Pruthwik Mishra, Vandan Mujadia*2019 · 26 citations*
19. **[Identifying dialects with textual and acoustic cues](https://md.research.elamur.ai/free/en/papers/hanani-2017-identifying-dialects-textual-acoustic-cues/) [Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial)](https://md.research.elamur.ai/free/en/venues/vardial/)**Abualsoud Hanani, Aziz Qaroush, Stephen Taylor*2017 · 24 citations*
20. **[Arabic Language WEKA-Based Dialect Classifier for Arabic Automatic Speech Recognition Transcripts](https://md.research.elamur.ai/free/en/papers/alshutayri-2016-arabic-language-weka-based-dialect/) [Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial)](https://md.research.elamur.ai/free/en/venues/vardial/)**Areej Alshutayri, Eric Atwell, Abdulrahman Alosaimy, et al.*2016 · 23 citations*
21. **[A Character-level Convolutional Neural Network for Distinguishing Similar Languages and Dialects](https://md.research.elamur.ai/free/en/papers/belinkov-2016-character-level-convolutional-neural-network/) [Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial)](https://md.research.elamur.ai/free/en/venues/vardial/)**Yonatan Belinkov, James Glass*2016 · 22 citations*
22. **[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*
23. [**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/)
24. **[UTD-CRSS Submission for MGB-3 Arabic Dialect Identification: Front-end and Back-end Advancements on Broadcast Speech](https://md.research.elamur.ai/free/en/papers/bulut-2017-utd-crss-submission-mgb-3/) [IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)](https://md.research.elamur.ai/free/en/venues/ieee-automatic-speech-recognition-and-understanding-workshop-asru/)**Ahmet E. Bulut, Qian Zhang, Chunlei Zhang, et al.*2017 · 12 citations*
25. [**A SOCIOLINGUISTICS STUDY IN ARABIC DIALECTS Prasasti: Journal of Linguistics 6**Abdullah Hussein Ali Alnosairee, Ni Wayan Sartini*2021 · 11 citations*](https://md.research.elamur.ai/free/en/papers/alnosairee-2021-sociolinguistics-study-arabic-dialects/)
26. **[ZCU-NLP at MADAR 2019: Recognizing Arabic Dialects](https://md.research.elamur.ai/free/en/papers/priban-2019-zcu-nlp-madar-2019-recognizing/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Pavel Přibáň, Stephen Taylor*2019 · 11 citations*
27. [**Hierarchical Classification for Spoken Arabic Dialect Identification using Prosody: Case of Algerian Dialects arXiv:1703.10065**Soumia Bougrine, Hadda Cherroun, Djelloul Ziadi*2017 · 10 citations*](https://md.research.elamur.ai/free/en/papers/bougrine-2017-hierarchical-classification-spoken-arabic-dialect/)
28. **[Faheem at NADI shared task: Identifying the dialect of Arabic tweet](https://md.research.elamur.ai/free/en/papers/alshenaifi-2020-faheem-nadi-shared-task-identifying/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Nouf AlShenaifi, Aqil Azmi*2020 · 9 citations*
29. **[Text and Speech-based Tunisian Arabic Sub-Dialects Identification](https://md.research.elamur.ai/free/en/papers/abdallah-2020-text-speech-based-tunisian-arabic/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Najla Ben Abdallah, Saméh Kchaou, Fethi Bougares*2020 · 7 citations*
30. **[Revisiting Common Assumptions about Arabic Dialects in NLP](https://md.research.elamur.ai/free/en/papers/keleg-2025-revisiting-common-assumptions-about-arabic/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Amr Keleg, Sharon Goldwater, Walid Magdy*2025 · 6 citations*
31. [**Beyond Orthography: Automatic Recovery of Short Vowels and Dialectal Sounds in Arabic**Yassine El Kheir, Hamdy Mubarak, Ahmed Ali, et al.*2024 · 5 citations*](https://md.research.elamur.ai/free/en/papers/kheir-2024-beyond-orthography-automatic-recovery-short/)
32. [**Multi-view Dimensionality Reduction for Dialect Identification of Arabic Broadcast Speech arXiv:1609.05650**Sameer Khurana, Ahmed Ali, Steve Renals*2016 · 5 citations*](https://md.research.elamur.ai/free/en/papers/khurana-2016-multi-view-dimensionality-reduction-dialect/)
33. **[Building a Speech Corpus based on Arabic Podcasts for Language and Dialect Identification](https://md.research.elamur.ai/free/en/papers/lounnas-2019-building-speech-corpus-based-arabic/) [International Conference on Natural Language and Speech Processing](https://md.research.elamur.ai/free/en/venues/icnlsp/)**Khaled Lounnas, Mourad Abbas, Mohamed Lichouri*2019 · 4 citations*
34. **[Ara-HOPE: Human-Centric Post-Editing Evaluation for Dialectal Arabic to Modern Standard Arabic Translation](https://md.research.elamur.ai/free/en/papers/alabdullah-2026-ara-hope-human-centric-post/) [Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial)](https://md.research.elamur.ai/free/en/venues/vardial/)**Abdullah Alabdullah, Lifeng Han, Chenghua Lin*2026 · 2 citations*
35. [**Picking Up Where the Linguist Left Off: Mapping Morphology to Phonology through Learning the Residuals**Salam Khalifa, Abdelrahim Qaddoumi, Ellen Broselow, et al.*2024 · 2 citations*](https://md.research.elamur.ai/free/en/papers/khalifa-2024-picking-up-where-linguist-left/)
36. [**ARCADE: A City-Scale Corpus for Fine-Grained Arabic Dialect Tagging arXiv:2601.02209**Omer Nacar, Serry Sibaee, Adel Ammar, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/nacar-2026-arcade-city-scale-corpus-fine/)
37. **[A Corpus-Based Investigation of Contemporary Arabic Dialects Using the SADA Corpus](https://md.research.elamur.ai/free/en/papers/alfattni-2026-corpus-based-investigation-contemporary-arabic/) [Workshop on NLP for Languages Using Arabic Script](https://md.research.elamur.ai/free/en/venues/abjadnlp/)**Ghada Alfattni*2026*
38. [**NADI 2026: The Second Multidialectal Arabic Speech Processing Shared Task arXiv:2609.27086**Peter Sullivan, Bashar Talafha, Ahmed Ashraf, et al.*2026*](https://md.research.elamur.ai/free/en/papers/sullivan-2026-nadi-2026-second-multidialectal-arabic/)
39. **[MarsadLab at NADI Shared Task: Arabic Dialect Identification and Speech Recognition using ECAPA-TDNN and Whisper](https://md.research.elamur.ai/free/en/papers/biswas-2025-marsadlab-nadi-shared-task-arabic/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Md. Rafiul Biswas, Kais Attia, Shimaa Ibrahim, et al.*2025*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/biadsy-2009-spoken-arabic-dialect-identification-phonotactic/) — Spoken Arabic Dialect Identification Using Phonotactic Modeling