---
title: "Who cites AIDA2: A Hybrid Approach for — 16 citing papers"
description: "16 papers of the Elamur Research library cite «AIDA2: A Hybrid Approach for Token and Sentence Level Dialect Identification in Arabic»…"
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---
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# Who cites «AIDA2: A Hybrid Approach for Token and Sentence Level Dialect Identification in Arabic»

16 papers of our library cite it (of the 149,439 whose bibliographies we read) · 7 with a page here, the most cited first · [← back to «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/)

1. **[Automatic Language Identification in Texts: A Survey](https://md.research.elamur.ai/free/en/papers/jauhiainen-2019-automatic-language-identification-texts/) [Journal of Artificial Intelligence Research](https://md.research.elamur.ai/free/en/venues/journal-of-artificial-intelligence-research/)**Tommi Jauhiainen, Marco Lui, Marcos Zampieri, et al.*2019 · 277 citations*
2. **[Overview for the Second Shared Task on Language Identification in Code-Switched Data](https://md.research.elamur.ai/free/en/papers/molina-2016-overview-second-shared-task-language/) [Workshop on Computational Approaches to Code Switching](https://md.research.elamur.ai/free/en/venues/workshop-on-computational-approaches-to-code-switching/)**Giovanni Molina, Fahad AlGhamdi, Mahmoud Ghoneim, et al.*2016 · 231 citations*
3. [**Automatic Arabic Dialect Identification Systems for Written Texts: A Survey arXiv:2009.12622**Maha J. Althobaiti*2020 · 24 citations*](https://md.research.elamur.ai/free/en/papers/althobaiti-2020-automatic-arabic-dialect-identification-systems/)
4. **[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*
5. **[The SMarT Classifier for Arabic Fine-Grained Dialect Identification](https://md.research.elamur.ai/free/en/papers/meftouh-2019-smart-classifier-arabic-fine-grained/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Karima Meftouh, Karima Abidi, Salima Harrat, et al.*2019 · 14 citations*
6. **[Leveraging Pretrained Word Embeddings for Part-of-Speech Tagging of Code Switching Data](https://md.research.elamur.ai/free/en/papers/alghamdi-2019-leveraging-pretrained-word-embeddings-part/) [Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial)](https://md.research.elamur.ai/free/en/venues/vardial/)**Fahad AlGhamdi, Mona Diab*2019 · 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*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/badrashiny-2015-aida2-hybrid-approach-token-sentence/) — AIDA2: A Hybrid Approach for Token and Sentence Level Dialect Identification in Arabic