---
title: "Who cites Investigating Code-Mixed Modern — 12 citing papers"
description: "12 papers of the Elamur Research library cite «Investigating Code-Mixed Modern Standard Arabic-Egyptian to English Machine Translation»…"
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---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Investigating Code-Mixed Modern Standard…](https://md.research.elamur.ai/free/en/papers/nagoudi-2021-investigating-code-mixed-modern-standard/) / cited by

# Who cites «Investigating Code-Mixed Modern Standard Arabic-Egyptian to English Machine Translation»

12 papers of our library cite it (of the 149,439 whose bibliographies we read) · 8 with a page here, the most cited first · [← back to «Investigating Code-Mixed Modern Standard Arabic-Egyptian to English Machine Translation»](https://md.research.elamur.ai/free/en/papers/nagoudi-2021-investigating-code-mixed-modern-standard/)

1. **[AraT5: Text-to-Text Transformers for Arabic Language Generation](https://md.research.elamur.ai/free/en/papers/nagoudi-2022-arat5-text-text-transformers-arabic/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**El Moatez Billah Nagoudi, AbdelRahim Elmadany, Muhammad Abdul-Mageed*2022 · 201 citations*
2. **[NADI 2023: The Fourth Nuanced Arabic Dialect Identification Shared Task](https://md.research.elamur.ai/free/en/papers/mageed-2023-nadi-2023-fourth-nuanced-arabic/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Muhammad Abdul-Mageed, AbdelRahim Elmadany, Chiyu Zhang, et al.*2023 · 82 citations*
3. **[TARJAMAT: Evaluation of Bard and ChatGPT on Machine Translation of Ten Arabic Varieties](https://md.research.elamur.ai/free/en/papers/kadaoui-2023-tarjamat-evaluation-bard-chatgpt-machine/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Karima Kadaoui, Samar M. Magdy, Abdul Waheed, et al.*2023 · 60 citations*
4. **[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*
5. **[Sirius_Translators at OSACT6 2024 Shared Task: Fin-tuning Ara-T5 Models for Translating Arabic Dialectal Text to Modern Standard Arabic](https://md.research.elamur.ai/free/en/papers/alahmari-2024-sirius-translators-osact6-2024-shared/) [Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks](https://md.research.elamur.ai/free/en/venues/osact/)**Salwa Saad Alahmari*2024 · 4 citations*
6. **[Beyond Monolingual Assumptions: A Survey on Code-Switched NLP in the Era of Large Language Models across Modalities](https://md.research.elamur.ai/free/en/papers/sheth-2026-beyond-monolingual-assumptions-survey-code/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Rajvee Sheth, Samridhi Raj Sinha, Mahavir Patil, et al.*2026 · 2 citations*
7. **[Current state of LLMs for Arabic dialectal machine translation](https://md.research.elamur.ai/free/en/papers/jon-2026-current-state-llms-arabic-dialectal/) [Workshop on NLP for Languages Using Arabic Script](https://md.research.elamur.ai/free/en/venues/abjadnlp/)**Josef Jon, Rawan Bondok, Ondřej Bojar*2026 · 2 citations*
8. [**Content-Localization based System for Analyzing Sentiment and Hate Behaviors in Low-Resource Dialectal Arabic: English to Levantine and Gulf arXiv:2312.03727**Fatimah Alzamzami, Abdulmotaleb El Saddik*2023 · 1 citation*](https://md.research.elamur.ai/free/en/papers/alzamzami-2023-content-localization-based-system-analyzing/)

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

- [← back to](https://md.research.elamur.ai/free/en/papers/nagoudi-2021-investigating-code-mixed-modern-standard/) — Investigating Code-Mixed Modern Standard Arabic-Egyptian to English Machine Translation