--- title: "Who cites Simplified guidelines for the — 20 citing papers" description: "20 papers of the Elamur Research library cite «Simplified guidelines for the creation of Large Scale Dialectal Arabic Annotations», found in their…" canonical: "https://research.elamur.ai/free/en/papers/elfardy-2012-simplified-guidelines-creation-large-scale/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/elfardy-2012-simplified-guidelines-creation-large-scale/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Simplified guidelines for the creation of Large…](https://md.research.elamur.ai/free/en/papers/elfardy-2012-simplified-guidelines-creation-large-scale/) / cited by # Who cites «Simplified guidelines for the creation of Large Scale Dialectal Arabic Annotations» 20 papers of our library cite it (of the 149,439 whose bibliographies we read) · 15 with a page here, the most cited first · [← back to «Simplified guidelines for the creation of Large Scale Dialectal Arabic Annotations»](https://md.research.elamur.ai/free/en/papers/elfardy-2012-simplified-guidelines-creation-large-scale/) 1. **[CAMeL Tools: An Open Source Python Toolkit for Arabic Natural Language Processing](https://md.research.elamur.ai/free/en/papers/obeid-2020-camel-tools-open-source-python/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Ossama Obeid, Nasser Zalmout, Salam Khalifa, et al.*2020 · 290 citations* 2. **[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* 3. **[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* 4. **[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* 5. **[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* 6. **[A Multi-Dialect, Multi-Genre Corpus of Informal Written Arabic](https://md.research.elamur.ai/free/en/papers/cotterell-2014-multi-dialect-multi-genre-corpus/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Ryan Cotterell, Chris Callison-Burch*2014 · 128 citations* 7. [**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/) 8. **[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* 9. **[Finding Romanized Arabic Dialect in Code-Mixed Tweets](https://md.research.elamur.ai/free/en/papers/voss-2014-finding-romanized-arabic-dialect-code/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Clare Voss, Stephen Tratz, Jamal Laoudi, et al.*2014 · 60 citations* 10. **[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* 11. **[No Army, No Navy: BERT Semi-Supervised Learning of Arabic Dialects](https://md.research.elamur.ai/free/en/papers/zhang-2019-no-army-no-navy-bert/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Chiyu Zhang, Muhammad Abdul-Mageed*2019 · 51 citations* 12. **[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* 13. **[POS-tagging of Tunisian Dialect Using Standard Arabic Resources and Tools](https://md.research.elamur.ai/free/en/papers/hamdi-2015-pos-tagging-tunisian-dialect-standard/) [Workshop on Arabic Natural Language Processing](https://md.research.elamur.ai/free/en/venues/workshop-on-arabic-natural-language-processing/)**Ahmed Hamdi, Alexis Nasr, Nizar Habash, et al.*2015 · 20 citations* 14. **[Creating a Large Multi-Layered Representational Repository of Linguistic Code Switched Arabic Data](https://md.research.elamur.ai/free/en/papers/diab-2016-creating-large-multi-layered-representational/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Mona Diab, Mahmoud Ghoneim, Abdelati Hawwari, et al.*2016 · 18 citations* 15. **[Une approche linguistique pour la détection des dialectes arabes (A linguistic approach for the detection of Arabic dialects)](https://md.research.elamur.ai/free/en/papers/saadane-2017-une-approche-linguistique-pour-la/) [JEP-TALN-RECITAL (the French-speaking conferences on speech and natural language processing)](https://md.research.elamur.ai/free/en/venues/jeptalnrecital/)**Houda Saâdane, Damien Nouvel, Hosni Seffih, et al.*2017* 5 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/elfardy-2012-simplified-guidelines-creation-large-scale/) — Simplified guidelines for the creation of Large Scale Dialectal Arabic Annotations