---
title: "Who cites The Effect of Arabic Dialect — 11 citing papers"
description: "11 papers of the Elamur Research library cite «The Effect of Arabic Dialect Familiarity on Data Annotation», found in their bibliographies; the most…"
canonical: "https://research.elamur.ai/free/en/papers/farha-2022-effect-arabic-dialect-familiarity-data/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [The Effect of Arabic Dialect Familiarity on Data…](https://md.research.elamur.ai/free/en/papers/farha-2022-effect-arabic-dialect-familiarity-data/) / cited by

# Who cites «The Effect of Arabic Dialect Familiarity on Data Annotation»

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 «The Effect of Arabic Dialect Familiarity on Data Annotation»](https://md.research.elamur.ai/free/en/papers/farha-2022-effect-arabic-dialect-familiarity-data/)

1. **[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*
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. **[Sarcasm Detection is Way Too Easy! An Empirical Comparison of Human and Machine Sarcasm Detection](https://md.research.elamur.ai/free/en/papers/farha-2022-sarcasm-detection-is-way-too/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Ibrahim Abu Farha, Steven Wilson, Silviu Oprea, et al.*2022 · 13 citations*
4. **[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*
5. **[LLM Alignment for the Arabs: A Homogenous Culture or Diverse Ones](https://md.research.elamur.ai/free/en/papers/keleg-2025-llm-alignment-arabs-homogenous-culture/) [Workshop on Cross-Cultural Considerations in NLP](https://md.research.elamur.ai/free/en/venues/c3nlp/)**Amr Keleg*2025 · 5 citations*
6. [**Out-of-Domain Dependency Parsing for Dialects of Arabic: A Case Study**Noor Abo Mokh, Daniel Dakota, Sandra Kübler*2024 · 3 citations*](https://md.research.elamur.ai/free/en/papers/mokh-2024-out-domain-dependency-parsing-dialects/)
7. [**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/)
8. **[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*
9. [**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/)

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

- [← back to](https://md.research.elamur.ai/free/en/papers/farha-2022-effect-arabic-dialect-familiarity-data/) — The Effect of Arabic Dialect Familiarity on Data Annotation