---
title: "Who cites ALDi: Quantifying the Arabic — 35 citing papers"
description: "35 papers of the Elamur Research library cite «ALDi: Quantifying the Arabic Level of Dialectness of Text», found in their bibliographies; the…"
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---
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# Who cites «ALDi: Quantifying the Arabic Level of Dialectness of Text»

35 papers of our library cite it (of the 149,439 whose bibliographies we read) · 32 with a page here, the most cited first · [← back to «ALDi: Quantifying the Arabic Level of Dialectness of Text»](https://md.research.elamur.ai/free/en/papers/keleg-2023-aldi-quantifying-arabic-level-dialectness/)

1. **[NADI 2024: The Fifth Nuanced Arabic Dialect Identification Shared Task](https://md.research.elamur.ai/free/en/papers/mageed-2024-nadi-2024-fifth-nuanced-arabic/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Muhammad Abdul-Mageed, Amr Keleg, AbdelRahim Elmadany, et al.*2024 · 59 citations*
2. **[Arabic Dialect Identification under Scrutiny: Limitations of Single-label Classification](https://md.research.elamur.ai/free/en/papers/keleg-2023-arabic-dialect-identification-under-scrutiny/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Amr Keleg, Walid Magdy*2023 · 24 citations*
3. **[AL-QASIDA: Analyzing LLM Quality and Accuracy Systematically in Dialectal Arabic](https://md.research.elamur.ai/free/en/papers/robinson-2025-al-qasida-analyzing-llm-quality/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Nathaniel Romney Robinson, Shahd Abdelmoneim, Kelly Marchisio, et al.*2025 · 14 citations*
4. **[Swan and ArabicMTEB: Dialect-Aware, Arabic-Centric, Cross-Lingual, and Cross-Cultural Embedding Models and Benchmarks](https://md.research.elamur.ai/free/en/papers/bhatia-2025-swan-arabicmteb-dialect-aware-arabic/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Gagan Bhatia, El Moatez Billah Nagoudi, Abdellah El Mekki, et al.*2025 · 13 citations*
5. **[JEEM: Vision-Language Understanding in Four Arabic Dialects](https://md.research.elamur.ai/free/en/papers/kadaoui-2026-jeem-vision-language-understanding-four/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Karima Kadaoui, Hanin Atwany, Hamdan Al-Ali, et al.*2026 · 11 citations*
6. **[ZAEBUC-Spoken: A Multilingual Multidialectal Arabic-English Speech Corpus](https://md.research.elamur.ai/free/en/papers/hamed-2024-zaebuc-spoken-multilingual-multidialectal-arabic/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Injy Hamed, Fadhl Eryani, David Palfreyman, et al.*2024 · 11 citations*
7. **[A Survey of Code-switched Arabic NLP: Progress, Challenges, and Future Directions](https://md.research.elamur.ai/free/en/papers/hamed-2025-survey-code-switched-arabic-nlp/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Injy Hamed, Caroline Sabty, Slim Abdennadher, et al.*2025 · 10 citations*
8. **[Arabic Automatic Story Generation with Large Language Models](https://md.research.elamur.ai/free/en/papers/shangiti-2024-arabic-automatic-story-generation-large/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Ahmed Oumar El-Shangiti, Fakhraddin Alwajih, Muhammad Abdul-Mageed*2024 · 9 citations*
9. **[Voice Conversion Improves Cross-Domain Robustness for Spoken Arabic Dialect Identification](https://md.research.elamur.ai/free/en/papers/abdullah-2025-voice-conversion-improves-cross-domain/) [Interspeech](https://md.research.elamur.ai/free/en/venues/interspeech-usb/)**Badr M. Abdullah, Matthew Baas, Bernd Mobius, et al.*2025 · 7 citations*
10. **[Konooz: Multi-domain Multi-dialect Corpus for Named Entity Recognition](https://md.research.elamur.ai/free/en/papers/hamad-2025-konooz-multi-domain-multi-dialect/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Nagham Hamad, Mohammed Khalilia, Mustafa Jarrar*2025 · 6 citations*
11. **[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*
12. **[Estimating the Level of Dialectness Predicts Inter-annotator Agreement in Multi-dialect Arabic Datasets](https://md.research.elamur.ai/free/en/papers/keleg-2024-estimating-level-dialectness-predicts-inter/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Amr Keleg, Walid Magdy, Sharon Goldwater*2024 · 6 citations*
13. **[ArabJobs: A Multinational Corpus of Arabic Job Ads](https://md.research.elamur.ai/free/en/papers/haj-2025-arabjobs-multinational-corpus-arabic-job/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Mo El-Haj*2025 · 5 citations*
14. **[On Using Arabic Language Dialects in Recommendation Systems](https://md.research.elamur.ai/free/en/papers/alshabanah-2025-arabic-language-dialects-recommendation-systems/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Abdulla Alshabanah, Murali Annavaram*2025 · 4 citations*
15. **[Arab Voices: Mapping Standard and Dialectal Arabic Speech Technology](https://md.research.elamur.ai/free/en/papers/sullivan-2026-arab-voices-mapping-standard-dialectal/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Peter Sullivan, AbdelRahim A. Elmadany, Alcides Alcoba Inciarte, et al.*2026 · 3 citations*
16. **[CommonLID: Re-evaluating State-of-the-Art Language Identification Performance on Web Data](https://md.research.elamur.ai/free/en/papers/suarez-2026-commonlid-re-evaluating-state-art/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Pedro Ortiz Suarez, Laurie Burchell, Catherine Arnett, et al.*2026 · 3 citations*
17. **[AlexUNLP-STM at NADI 2024 shared task: Quantifying the Arabic Dialect Spectrum with Contrastive Learning, Weighted Sampling, and BERT-based Regression Ensemble](https://md.research.elamur.ai/free/en/papers/sakr-2024-alexunlp-stm-nadi-2024-shared/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Abdelrahman Sakr, Marwan Torki, Nagwa El-Makky*2024 · 3 citations*
18. **[AMIYA Shared Task: Arabic Modeling In Your Accent at VarDial 2026](https://md.research.elamur.ai/free/en/papers/robinson-2026-amiya-shared-task-arabic-modeling/) [Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial)](https://md.research.elamur.ai/free/en/venues/vardial/)**Nathaniel R. Robinson, Shahd Abdelmoneim, Anjali Kantharuban, et al.*2026 · 2 citations*
19. **[NUS-IDS at AMIYA/VarDial 2026: Improving Arabic Dialectness in LLMs with Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/gollapalli-2026-nus-ids-amiya-vardial-2026/) [Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial)](https://md.research.elamur.ai/free/en/venues/vardial/)**Sujatha Das Gollapalli, Mouad Hakam, Mingzhe Du, et al.*2026 · 2 citations*
20. **[Mind the Dialect: NLP Advancements Uncover Fairness Disparities for Arabic Users in Recommendation Systems](https://md.research.elamur.ai/free/en/papers/alshabanah-2025-mind-dialect-nlp-advancements-uncover/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Abdulla Alshabanah, Murali Annavaram*2025 · 2 citations*
21. **[The Arabic Generality Score: Another Dimension of Modeling Arabic Dialectness](https://md.research.elamur.ai/free/en/papers/ban-2025-arabic-generality-score-another-dimension/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Sanad Sha'ban, Nizar Habash*2025 · 2 citations*
22. **[ASOS at NADI 2024 shared task: Bridging Dialectness Estimation and MSA Machine Translation for Arabic Language Enhancement](https://md.research.elamur.ai/free/en/papers/nacar-2024-asos-nadi-2024-shared-task/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Omer Nacar, Serry Sibaee, Abdullah Alharbi, et al.*2024 · 2 citations*
23. **[Cultural Benchmarking of LLMs in Standard and Dialectal Arabic Dialogues](https://md.research.elamur.ai/free/en/papers/kautsar-2026-cultural-benchmarking-llms-standard-dialectal/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Muhammad Dehan Al Kautsar, Saeed Almheiri, Momina Ahsan, et al.*2026 · 1 citation*
24. [**From FusHa to Folk: Exploring Cross-Lingual Transfer in Arabic Language Models arXiv:2602.09826**Abdulmuizz Khalak, Abderrahmane Issam, Gerasimos Spanakis*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/khalak-2026-fusha-folk-exploring-cross-lingual/)
25. **[Benchmarking Arabic Authorship Attribution and Style Transfer with Large Language Models](https://md.research.elamur.ai/free/en/papers/hamed-2026-benchmarking-arabic-authorship-attribution-style/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Injy Hamed, Bashar Alhafni, Nizar Habash, et al.*2026*
26. [**CARDAMOM: A Micro-Dialectal Arabic Speech Dataset for ASR arXiv:2609.34481**Bashar Talafha, Samar M. Magdy, Aisha Alansari, et al.*2026*](https://md.research.elamur.ai/free/en/papers/talafha-2026-cardamom-micro-dialectal-arabic-speech/)
27. [**Context-Aware Dialectal Arabic Machine Translation with Interactive Region and Register Selection arXiv:2604.06456**Afroza Nowshin, Prithweeraj Acharjee Porag, Haziq Jeelani, et al.*2026*](https://md.research.elamur.ai/free/en/papers/nowshin-2026-context-aware-dialectal-arabic-machine/)
28. [**Learning the Arabic Dialect Continuum as a Continuous Space: A Regression Approach to Speaker Origin Prediction arXiv:2607.19751**Mohamed Aziz Khadraoui, Adel Ammar, Bilel Benjdira, et al.*2026*](https://md.research.elamur.ai/free/en/papers/khadraoui-2026-learning-arabic-dialect-continuum-continuous/)
29. **[Maastricht University at AMIYA: Adapting LLMs for Dialectal Arabic using Fine-tuning and MBR Decoding](https://md.research.elamur.ai/free/en/papers/alali-2026-maastricht-university-amiya-adapting-llms/) [Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial)](https://md.research.elamur.ai/free/en/venues/vardial/)**Abdulhai Alali, Abderrahmane Issam*2026*
30. [**Romanized Arabic Across Dialects: Views, Usage Patterns, and Linguistic Variation arXiv:2608.02555**Amr Keleg, Ahmed Amine Ben Abdallah, Taha Yassine, et al.*2026*](https://md.research.elamur.ai/free/en/papers/keleg-2026-romanized-arabic-across-dialects-views/)
31. **[The NakbaEcho Dataset: From Oral Testimonies to a Transcribed Arabic History Corpus](https://md.research.elamur.ai/free/en/papers/balah-2026-nakbaecho-dataset-oral-testimonies-transcribed/) [International Workshop on Nakba Narratives as Language Resources @ LREC](https://md.research.elamur.ai/free/en/venues/nakbanlp/)**Batool Najeh Balah, Mahmoud Fawzi, Houda Elmimouni, et al.*2026*
32. [**Estimating the Level of Dialectness Predicts Interannotator Agreement in Multi-dialect Arabic Datasets arXiv:2405.11282**Amr Keleg, Walid Magdy, Sharon Goldwater*2024*](https://md.research.elamur.ai/free/en/papers/keleg-2024-estimating-level-dialectness-predicts-interannotator/)

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

- [← back to](https://md.research.elamur.ai/free/en/papers/keleg-2023-aldi-quantifying-arabic-level-dialectness/) — ALDi: Quantifying the Arabic Level of Dialectness of Text