🧑‍🔬 Khaled Shaalan

🏛️ Affiliations

🎓British University in DubaiDubai · United Arab Emirates2005–2026 · 366 paperscurrent🎓University of EdinburghEdinburgh · United Kingdom2006–2022 · 36 papers🎓Cairo UniversityGiza · Egypt1993–2015 · 8 papers🎓Higher Colleges of TechnologyAbu Dhabi · United Arab Emirates2022–2023 · 3 papers🎓Fujairah UniversityFujairah · United Arab Emirates2018–2019 · 3 papers🎓University of SalfordSalford · United Kingdom2023–2025 · 2 papers🎓American University in DubaiDubai · United Arab Emirates2022 · 2 papers🎓Suez Canal UniversityIsmailia · Egypt2015–2017 · 2 papers🎓Heinrich Heine University DüsseldorfDüsseldorf · Germany2012–2016 · 2 papers🎓Dublin City UniversityDublin · Ireland2012 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 11 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

2020s

2010s

2000s

📄 Papers

The most cited first (OpenAlex and our library).

1. A Survey of Arabic Named Entity Recognition and Classification (2014 · 242 citations)
   This survey maps the state of Arabic Named Entity Recognition (NER), the task of finding and classifying names, temporal expressions and numeric expressions in text.
2. Person Name Entity Recognition for Arabic (2007 · 97 citations)
   The paper addresses recognizing person names in Arabic text, where NER resources were scarce in 2007. The authors built PERA, a rule-based recognizer with two parts. The first is a set of gazetteers, or name lists, collected from the ACE and Arabic Treebank corpora, government and company name databases, and web…
3. A Pipeline Arabic Named Entity Recognition using a Hybrid Approach (2012 · 61 citations)
   Arabic NER is difficult because the script has no capitalization, words are agglutinative, short vowels are usually omitted, spellings vary, and annotated resources are scarce.
4. A chart parser for analyzing modern standard Arabic sentence (2003 · 60 citations)
   The paper presents a rule-based syntactic analyzer for Modern Standard Arabic (MSA). The authors argue that Arabic parsing is hard for four reasons: sentences are long, written text omits diacritics, word order is free, and personal pronouns are often implicit. Their system has two parts, both written in Prolog. The…
5. Improved Spelling Error Detection and Correction for Arabic (2012 · 51 citations)
   The paper builds a better spell checker and corrector for Modern Standard Arabic, handling non-word errors only.
6. A Hybrid Approach for Building Arabic Diacritizer (2009 · 50 citations)
   Arabic is normally written without short vowels and other diacritic marks, so many written forms map to several readings.
7. Arabic Word Generation and Modelling for Spell Checking (2012 · 47 citations)
   The paper addresses the lack of an adequate open-source spell-checking lexicon for Arabic. Existing free resources such as Ayaspell (about 300K forms) and Arabic-Spell (about 900K forms) cover only a small part of the language's highly productive inflection and cliticization. The authors used the open-source…
8. Self-Training Pre-Trained Language Models for Zero- and Few-Shot Multi-Dialectal Arabic Sequence Labeling (2021 · 25 citations)
   Labeled data for Arabic NLP is mostly in Modern Standard Arabic (MSA), while everyday online writing is in dialects.
9. Handling Unknown Words in Arabic FST Morphology (2012 · 6 citations)
   Arabic morphological analysers depend on a lexicon, so newly coined or borrowed words are not analysed and cannot be lemmatized by lookup.
10. Mapping Interlingua Representations to Feature Structures of Arabic Sentences (2006 · 5 citations)
    In interlingua machine translation, the source sentence is first reduced to a meaning representation, and the target sentence is then generated from it.
11. Automatic Extraction and Evaluation of Arabic LFG Resources (2012 · 3 citations)
    The paper builds deep-grammar lexical resources for Arabic automatically instead of writing them by hand. The starting point is an existing algorithm (Tounsi et al., 2009) that adds LFG f-structure equations to the Penn Arabic Treebank (ATB). From the annotated trees the authors derive two resources.
12. The Floating Arabic Dictionary: An Automatic Method for Updating a Lexical Database through the Detection and Lemmatization of Unknown Words (2012 · 2 citations)
    Arabic NLP tools struggle with out-of-vocabulary words. In a corpus of about 1.09 billion words, roughly 29% of word types could not be analysed by the SAMA morphological analyser, so checking new words by hand is not feasible. The authors define an unknown word as one that SAMA rejects but the Microsoft Spell…
13. Syntactic Generation of Arabic in Interlingua-based Machine Translation Framework (2009 · 2 citations)
    The paper tackles generating Arabic text from a language-neutral meaning representation (Interlingua) within NESPOLE!, a multilingual speech-to-speech translation project for e-commerce and travel dialogues.

All works

14 works of theirs in our library, the most cited first; 13 with a page here, the others link their original until we summarise them.

1. A Survey of Arabic Named Entity Recognition and ClassificationComputational LinguisticsKhaled Shaalan2014 · 242 citations
2. Person Name Entity Recognition for ArabicWorkshop on Computational Approaches to Semitic Languages: Common Issues and ResourcesKhaled Shaalan, Hafsa Raza2007 · 97 citations
3. A Pipeline Arabic Named Entity Recognition using a Hybrid ApproachInternational Conference on Computational Linguistics (COLING)Mai Oudah, Khaled Shaalan2012 · 61 citations
4. A chart parser for analyzing modern standard Arabic sentenceMachine Translation Summit (MT Summit)Eman Othman, Khaled Shaalan, Ahmed Rafea2003 · 60 citations
5. Improved Spelling Error Detection and Correction for ArabicInternational Conference on Computational Linguistics (COLING)Mohammed Attia, Pavel Pecina, Younes Samih, et al.2012 · 51 citations
6. A Hybrid Approach for Building Arabic DiacritizerEACL Workshop on Computational Approaches to Semitic LanguagesKhaled Shaalan, Hitham M. Abo Bakr, Ibrahim Ziedan2009 · 50 citations
7. Arabic Word Generation and Modelling for Spell CheckingLanguage Resources and Evaluation Conference (LREC)Khaled Shaalan, Mohammed Attia, Pavel Pecina, et al.2012 · 47 citations
8. Self-Training Pre-Trained Language Models for Zero- and Few-Shot Multi-Dialectal Arabic Sequence LabelingConference of the European Chapter of the Association for Computational Linguistics (EACL)Muhammad Khalifa, Muhammad Abdul-Mageed, Khaled Shaalan2021 · 25 citations
9. Handling Unknown Words in Arabic FST MorphologyInternational Workshop on Finite State Methods and Natural Language ProcessingKhaled Shaalan, Mohammed Attia2012 · 6 citations
10. Mapping Interlingua Representations to Feature Structures of Arabic SentencesInternational Conference on the Challenge of Arabic for NLP/MTKhaled Shaalan, Azza Abdel Monem, Ahmed Rafea, et al.2006 · 5 citations
11. Automatic Extraction and Evaluation of Arabic LFG ResourcesLanguage Resources and Evaluation Conference (LREC)Mohammed Attia, Khaled Shaalan, Lamia Tounsi, et al.2012 · 3 citations
12. The Floating Arabic Dictionary: An Automatic Method for Updating a Lexical Database through the Detection and Lemmatization of Unknown WordsInternational Conference on Computational Linguistics (COLING)Mohammed Attia, Younes Samih, Khaled Shaalan, et al.2012 · 2 citations
13. Adaptive Feedback Message Generation for Second Language Learners of Arabic ↗Proceedings of the International Conference Recent Advances in Natural Language Processing 2011 · no summary yetKhaled Shaalan, Marwa Magdy2011 · 2 citations
14. Syntactic Generation of Arabic in Interlingua-based Machine Translation FrameworkMachine Translation Summit (MT Summit)Khaled Shaalan, Azza Abdel Monem, Ahmed Rafea2009 · 2 citations

🤝 Co-authors here

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

• Mohammed Attia ×5
• Josef van Genabith ×4
• Ahmed Rafea ×3
• Younes Samih ×3
• Azza Abdel Monem ×2
• Pavel Pecina ×2
• Lamia Tounsi
• Mai Oudah
• Muhammad Abdul-Mageed
• Muhammad Khalifa

Venues

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

• International Conference on Computational Linguistics (COLING) ×3: COLING 2012 ×3
• Language Resources and Evaluation Conference (LREC) ×2: LREC 2012 ×2
• Machine Translation Summit (MT Summit) ×2: Machine Translation Summit (MT Summit) 2009, Machine Translation Summit (MT Summit) 2003
• International Conference on the Challenge of Arabic for NLP/MT: International Conference on the Challenge of Arabic for NLP/MT 2006
• Computational Linguistics: Computational Linguistics 2014
• EACL Workshop on Computational Approaches to Semitic Languages: EACL Workshop on Computational Approaches to Semitic Languages 2009
• Conference of the European Chapter of the Association for Computational Linguistics (EACL): EACL 2021
• International Workshop on Finite State Methods and Natural Language Processing: International Workshop on Finite State Methods and Natural Language Processing 2012
• Workshop on Computational Approaches to Semitic Languages: Common Issues and Resources: Workshop on Computational Approaches to Semitic Languages: Common Issues and Resources 2007
• Proceedings of the International Conference Recent Advances in Natural Language Processing 2011

🔗 Cited by

Papers of our library cite their works 110 times (of the 149,439 papers whose bibliographies we read); 67 citing papers with a page here →.

Updated 31 October 2026

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