--- title: "Who cites Mahmoud Ghoneim" description: "204 papers of the Elamur Research library cite the works of Mahmoud Ghoneim, found in their bibliographies; the most cited first." canonical: "https://research.elamur.ai/free/en/authors/mahmoud-ghoneim/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/mahmoud-ghoneim/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Mahmoud Ghoneim](https://md.research.elamur.ai/free/en/authors/mahmoud-ghoneim/) / cited by # Who cites Mahmoud Ghoneim 271 citations of their works from 204 papers of our library (of the 140,884 whose bibliographies we read) · 26 with a page here, the most cited first · [← Mahmoud Ghoneim](https://md.research.elamur.ai/free/en/authors/mahmoud-ghoneim/) 1. [**Demographic Dialectal Variation in Social Media: A Case Study of African-American English**Su Lin Blodgett, Lisa Green, Brendan O'Connor*2016 · 470 citations*](https://md.research.elamur.ai/free/en/papers/blodgett-2016-demographic-dialectal-variation-social-media/) 2. [**Discriminating between Similar Languages and Arabic Dialect Identification: A Report on the Third DSL Shared Task**Shervin Malmasi, Marcos Zampieri, Nikola Ljubešić, et al.*2016 · 287 citations*](https://md.research.elamur.ai/free/en/papers/malmasi-2016-discriminating-between-similar-languages/) 3. [**Automatic Language Identification in Texts: A Survey**Tommi Jauhiainen, Marco Lui, Marcos Zampieri, et al.*2019 · 277 citations*](https://md.research.elamur.ai/free/en/papers/jauhiainen-2019-automatic-language-identification-texts/) 4. [**SemEval-2020 Task 9: Overview of Sentiment Analysis of Code-Mixed Tweets**Parth Patwa, Gustavo Aguilar, Sudipta Kar, et al.*2020 · 240 citations*](https://md.research.elamur.ai/free/en/papers/patwa-2020-semeval-2020-task-9-overview/) 5. [**Corpus Creation for Sentiment Analysis in Code-Mixed Tamil-English Text**Bharathi Raja Chakravarthi, Vigneshwaran Muralidaran, Ruba Priyadharshini, et al.*2020 · 234 citations*](https://md.research.elamur.ai/free/en/papers/chakravarthi-2020-corpus-creation-sentiment-analysis-code/) 6. [**GLUECoS: An Evaluation Benchmark for Code-Switched NLP**Simran Khanuja, Sandipan Dandapat, Anirudh Srinivasan, et al.*2020 · 222 citations*](https://md.research.elamur.ai/free/en/papers/khanuja-2020-gluecos-evaluation-benchmark-code-switched/) 7. [**Language Modeling for Code-Mixing: The Role of Linguistic Theory based Synthetic Data**Adithya Pratapa, Gayatri Bhat, Monojit Choudhury, et al.*2018 · 202 citations*](https://md.research.elamur.ai/free/en/papers/pratapa-2018-language-modeling-code-mixing-role/) 8. [**Overview of the DSL Shared Task 2015**Marcos Zampieri, Liling Tan, Nikola Ljubešić, et al.*2015 · 164 citations*](https://md.research.elamur.ai/free/en/papers/zampieri-2015-overview-dsl-shared-task/) 9. [**A Sentiment Analysis Dataset for Code-Mixed Malayalam-English**Bharathi Raja Chakravarthi, Navya Jose, Shardul Suryawanshi, et al.*2020 · 158 citations*](https://md.research.elamur.ai/free/en/papers/chakravarthi-2020-sentiment-analysis-dataset-code-mixed/) 10. [**LinCE: A Centralized Benchmark for Linguistic Code-switching Evaluation**Gustavo Aguilar, Sudipta Kar, Thamar Solorio*2020 · 96 citations*](https://md.research.elamur.ai/free/en/papers/aguilar-2020-lince-centralized-benchmark-linguistic-code/) 11. [**Improving Arabic Diacritization through Syntactic Analysis**Anas Shahrour, Salam Khalifa, Nizar Habash*2015 · 58 citations*](https://md.research.elamur.ai/free/en/papers/shahrour-2015-improving-arabic-diacritization-through-syntactic/) 12. [**DAICT: A Dialectal Arabic Irony Corpus Extracted from Twitter**Ines Abbes, Wajdi Zaghouani, Omaima El-Hardlo, et al.*2020 · 51 citations*](https://md.research.elamur.ai/free/en/papers/abbes-2020-daict-dialectal-arabic-irony-corpus/) 13. [**A Multitask Learning Approach for Diacritic Restoration**Sawsan Alqahtani, Ajay Mishra, Mona Diab*2020 · 28 citations*](https://md.research.elamur.ai/free/en/papers/alqahtani-2020-multitask-learning-approach-diacritic-restoration/) 14. [**Automatic Arabic Dialect Identification Systems for Written Texts: A Survey**Maha J. Althobaiti*2020 · 24 citations*](https://md.research.elamur.ai/free/en/papers/althobaiti-2020-automatic-arabic-dialect-identification-systems/) 15. [**Diacritic Recognition Performance in Arabic ASR**Hanan Aldarmaki, Ahmad Ghannam*2023 · 22 citations*](https://md.research.elamur.ai/free/en/papers/aldarmaki-2023-diacritic-recognition-performance-arabic-asr/) 16. [**Exploiting Arabic Diacritization for High Quality Automatic Annotation**Nizar Habash, Anas Shahrour, Muhamed Al-Khalil*2016 · 16 citations*](https://md.research.elamur.ai/free/en/papers/habash-2016-exploiting-arabic-diacritization-high-quality/) 17. [**Preprocessing Solutions for Detection of Sarcasm and Sentiment for Arabic**Mohamed Lichouri, Mourad Abbas, Besma Benaziz, et al.*2021 · 13 citations*](https://md.research.elamur.ai/free/en/papers/lichouri-2021-preprocessing-solutions-detection-sarcasm-sentiment/) 18. [**Leveraging Pretrained Word Embeddings for Part-of-Speech Tagging of Code Switching Data**Fahad AlGhamdi, Mona Diab*2019 · 11 citations*](https://md.research.elamur.ai/free/en/papers/alghamdi-2019-leveraging-pretrained-word-embeddings-part/) 19. [**How Much Does Lookahead Matter for Disambiguation? Partial Arabic Diacritization Case Study**Saeed Esmail, Kfir Bar, Nachum Dershowitz*2022 · 10 citations*](https://md.research.elamur.ai/free/en/papers/esmail-2022-how-much-does-lookahead-matter/) 20. [**Parsing the Switch: LLM-Based UD Annotation for Complex Code-Switched and Low-Resource Languages**Olga Kellert, Nemika Tyagi, Muhammad Imran, et al.*2025 · 5 citations*](https://md.research.elamur.ai/free/en/papers/kellert-2025-parsing-switch-llm-based-ud/) 21. [**Computational Morphology and Lexicography Modeling of Modern Standard Arabic Nominals**Christian Khairallah, Reham Marzouk, Salam Khalifa, et al.*2024 · 4 citations*](https://md.research.elamur.ai/free/en/papers/khairallah-2024-computational-morphology-lexicography-modeling-modern/) 22. [**Do Diacritics Matter? Evaluating the Impact of Arabic Diacritics on Tokenization and LLM Benchmarks**Go Inoue, Bashar Alhafni, Nizar Habash, et al.*2026 · 3 citations*](https://md.research.elamur.ai/free/en/papers/inoue-2026-do-diacritics-matter-evaluating-impact/) 23. [**Sadeed: Advancing Arabic Diacritization Through Small Language Model**Zeina Aldallal, Sara Chrouf, Khalil Hennara, et al.*2025 · 3 citations*](https://md.research.elamur.ai/free/en/papers/aldallal-2025-sadeed-advancing-arabic-diacritization-through/) 24. [**ASOS at NADI 2024 shared task: Bridging Dialectness Estimation and MSA Machine Translation for Arabic Language Enhancement**Omer Nacar, Serry Sibaee, Abdullah Alharbi, et al.*2024 · 2 citations*](https://md.research.elamur.ai/free/en/papers/nacar-2024-asos-nadi-2024-shared-task/) 25. [**Dotless Representation of Arabic Text: Analysis and Modeling**Maged S. Al-Shaibani, Irfan Ahmad*2023 · 1 citation*](https://md.research.elamur.ai/free/en/papers/al-shaibani-2023-dotless-representation-arabic-text-analysis/) 26. [**Estimating the Level of Dialectness Predicts Interannotator Agreement in Multi-dialect Arabic Datasets**Amr Keleg, Walid Magdy, Sharon Goldwater*2024*](https://md.research.elamur.ai/free/en/papers/keleg-2024-estimating-level-dialectness-predicts-interannotator/) 178 more citing papers of our library have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/authors/mahmoud-ghoneim/) — Mahmoud Ghoneim