🧑‍🔬 Heba Elfardy

🏛️ Affiliations

🎓Columbia UniversityNew York · United States2012–2016 · 12 papers🏢AmazonSeattle · United States2021–2024 · 7 papers🎓George Washington UniversityWashington · United States2014–2017 · 3 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 more institutions on single bylines are not listed.

🧭 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📅 Works by year

2010s

📄 Papers

The most cited first (OpenAlex and our library).

1. Sentence Level Dialect Identification in Arabic (2013 · 191 citations)
   The paper tackles sentence-level dialect identification for Arabic. Specifically, it decides whether a sentence is mainly Modern Standard Arabic (MSA) or Egyptian Dialectal Arabic (EDA). This matters because tools built for MSA break down on dialectal or code-switched text, so a reliable classifier is needed as a…
2. AIDA: Identifying Code Switching in Informal Arabic Text (2014 · 76 citations)
   The paper addresses token-level detection of code switching between Modern Standard Arabic (MSA) and Egyptian dialectal Arabic (EDA) in informal Twitter text.
3. Tharwa: A Large Scale Dialectal Arabic - Standard Arabic - English Lexicon (2014 · 62 citations)
   Dialectal Arabic (DA), and Egyptian Arabic (EGY) in particular, is common in online text. Most Arabic NLP tools, however, are built for Modern Standard Arabic (MSA) and perform much worse on dialects. DA and MSA differ in phonology, morphology and vocabulary. Many written forms look the same across varieties but mean…
4. Simplified guidelines for the creation of Large Scale Dialectal Arabic Annotations (2012 · 53 citations)
   Arabic speakers routinely mix Modern Standard Arabic (MSA) with their native dialect (DA), and this mixing is common in online forums.
5. AIDA2: A Hybrid Approach for Token and Sentence Level Dialect Identification in Arabic (2015 · 50 citations)
   The paper addresses dialect identification in Arabic text where Modern Standard Arabic (MSA) and Egyptian Arabic (EDA) are mixed, sometimes within a single sentence.
6. AIDA: Automatic Identification and Glossing of Dialectal Arabic (2012 · 6 citations)
   AIDA, a demo system from Columbia University's Center for Computational Learning Systems, tackles the problem of telling Modern Standard Arabic (MSA) apart from dialectal Arabic (DA) in written text.

All works

9 works of theirs in our library, the most cited first; 6 with a page here, the others link their original until we summarise them.

1. Sentence Level Dialect Identification in ArabicAnnual Meeting of the Association for Computational Linguistics (ACL)Heba Elfardy, Mona Diab2013 · 191 citations
2. AIDA: Identifying Code Switching in Informal Arabic TextWorkshop on Computational Approaches to Code SwitchingHeba Elfardy, Mohamed Al-Badrashiny, Mona Diab2014 · 76 citations
3. Tharwa: A Large Scale Dialectal Arabic - Standard Arabic - English LexiconLanguage Resources and Evaluation Conference (LREC)Mona Diab, Mohamed Al-Badrashiny, Maryam Aminian, et al.2014 · 62 citations
4. Simplified guidelines for the creation of Large Scale Dialectal Arabic AnnotationsLanguage Resources and Evaluation Conference (LREC)Heba Elfardy, Mona Diab2012 · 53 citations
5. AIDA2: A Hybrid Approach for Token and Sentence Level Dialect Identification in ArabicConference on Computational Natural Language Learning (CoNLL)Mohamed Al-Badrashiny, Heba Elfardy, Mona Diab2015 · 50 citations
6. Enhancing Multi-Document Summarization with Cross-Document Graph-based Information Extraction ↗Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics · no summary yetZixuan Zhang et al.2023 · 24 citations
7. Hidden Biases in Unreliable News Detection Datasets ↗Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume · no summary yetXiang Zhou et al.2021 · 23 citations
8. AIDA: Automatic Identification and Glossing of Dialectal ArabicAnnual Conference of the European Association for Machine Translation (EAMT)Heba Elfardy, M. Diab2012 · 6 citations
9. Unified Embeddings for Multimodal Retrieval via Frozen LLMs ↗Findings of the Association for Computational Linguistics: EACL 2024 · no summary yetZiyang Wang et al.2024 · 4 citations

🤝 Co-authors here

9 co-authors with a page, the most papers together first.

• Mona Diab ×5
• Mohamed Al-Badrashiny ×3
• Abdelati Hawwari
• Maryam Aminian
• Mohammed Attia
• Nizar Habash
• Pradeep Dasigi
• Ramy Eskander
• Wael Salloum

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

• Language Resources and Evaluation Conference (LREC) ×2: LREC 2014, LREC 2012
• Annual Meeting of the Association for Computational Linguistics (ACL): ACL 2013
• Conference on Computational Natural Language Learning (CoNLL): CoNLL 2015
• Annual Conference of the European Association for Machine Translation (EAMT): EAMT 2012
• Workshop on Computational Approaches to Code Switching: Workshop on Computational Approaches to Code Switching 2014
• Findings of the Association for Computational Linguistics: EACL 2024
• Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume
• Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics

🔗 Cited by

Papers of our library cite their works 190 times (of the 149,439 papers whose bibliographies we read); 98 citing papers with a page here →.

Updated 30 October 2026

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