--- title: "Who cites Towards Responsible Natural — 17 citing papers" description: "17 papers of the Elamur Research library cite «Towards Responsible Natural Language Annotation for the Varieties of Arabic», found in their…" canonical: "https://research.elamur.ai/free/en/papers/bergman-2022-responsible-natural-language-annotation-varieties/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/bergman-2022-responsible-natural-language-annotation-varieties/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Towards Responsible Natural Language Annotation…](https://md.research.elamur.ai/free/en/papers/bergman-2022-responsible-natural-language-annotation-varieties/) / cited by # Who cites «Towards Responsible Natural Language Annotation for the Varieties of Arabic» 17 papers of our library cite it (of the 149,439 whose bibliographies we read) · 14 with a page here, the most cited first · [← back to «Towards Responsible Natural Language Annotation for the Varieties of Arabic»](https://md.research.elamur.ai/free/en/papers/bergman-2022-responsible-natural-language-annotation-varieties/) 1. [**Lost in Translation: Large Language Models in Non-English Content Analysis arXiv:2306.07377**Gabriel Nicholas, Aliya Bhatia*2023 · 45 citations*](https://md.research.elamur.ai/free/en/papers/nicholas-2023-lost-translation-large-language-models/) 2. **[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* 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. **[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* 5. **[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* 6. **[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* 7. **[AraT5-MSAizer: Translating Dialectal Arabic to MSA](https://md.research.elamur.ai/free/en/papers/fares-2024-arat5-msaizer-translating-dialectal-arabic/) [Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks](https://md.research.elamur.ai/free/en/venues/osact/)**Murhaf Fares*2024 · 4 citations* 8. [**Toxic language detection: a systematic review of Arabic datasets arXiv:2312.07228**Imene Bensalem, Paolo Rosso, Hanane Zitouni*2023 · 4 citations*](https://md.research.elamur.ai/free/en/papers/bensalem-2023-toxic-language-detection-systematic-review/) 9. **[Navigating Dialectal Bias and Ethical Complexities in Levantine Arabic Hate Speech Detection](https://md.research.elamur.ai/free/en/papers/ahmed-2025-navigating-dialectal-bias-ethical-complexities/) [Workshop on Arabic Corpus Linguistics](https://md.research.elamur.ai/free/en/venues/wacl/)**Ahmed Haj Ahmed, Rui-Jie Yew, Xerxes Minocher, et al.*2025 · 3 citations* 10. [**AlexandriaX 2026: The First Shared Task on Dialectal Arabic Machine Translation arXiv:2609.22796**Abdellah El Mekki, AbdelRahim A. Elmadany, Samar M. Magdy, et al.*2026 · 2 citations*](https://md.research.elamur.ai/free/en/papers/mekki-2026-alexandriax-2026-first-shared-task/) 11. **[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* 12. **[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* 13. **[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* 14. [**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/bergman-2022-responsible-natural-language-annotation-varieties/) — Towards Responsible Natural Language Annotation for the Varieties of Arabic