---
title: "Who cites Language Model Based Arabic Word Segmentation"
description: "43 papers of the Elamur Research library cite «Language Model Based Arabic Word Segmentation», found in their bibliographies; the most…"
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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/) / [Language Model Based Arabic Word Segmentation](https://md.research.elamur.ai/free/en/papers/lee-2003-language-model-based-arabic-word/) / cited by

# Who cites «Language Model Based Arabic Word Segmentation»

43 papers of our library cite it (of the 149,439 whose bibliographies we read) · 23 with a page here, the most cited first · [← back to «Language Model Based Arabic Word Segmentation»](https://md.research.elamur.ai/free/en/papers/lee-2003-language-model-based-arabic-word/)

1. [**Arabic Tokenization, Part-of-Speech Tagging and Morphological Disambiguation in One Fell Swoop**Nizar Habash, Owen Rambow*2005 · 635 citations*](https://md.research.elamur.ai/free/en/papers/habash-2005-arabic-tokenization-part-speech-tagging/)
2. **[Morphological Analysis for Statistical Machine Translation](https://md.research.elamur.ai/free/en/papers/lee-2004-morphological-analysis-statistical-machine-translation/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Young-Suk Lee*2004 · 251 citations*
3. **[A Statistical Model for Multilingual Entity Detection and Tracking](https://md.research.elamur.ai/free/en/papers/florian-2004-statistical-model-multilingual-entity-detection/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**R. Florian, H. Hassan, A. Ittycheriah, et al.*2004 · 248 citations*
4. [**Maximum Entropy Based Restoration of Arabic Diacritics**Imed Zitouni, Jeffrey S. Sorensen, Ruhi Sarikaya*2006 · 196 citations*](https://md.research.elamur.ai/free/en/papers/zitouni-2006-maximum-entropy-based-restoration-arabic/)
5. [**Simplified Feature Set for Arabic Named Entity Recognition Proceedings of the 2010 Named Entities Workshop**Ahmed Abdul-Hamid, Kareem Darwish*2010 · 98 citations*](https://md.research.elamur.ai/free/en/papers/hamid-2010-simplified-feature-set-arabic-named/)
6. **[Farasa: A New Fast and Accurate Arabic Word Segmenter](https://md.research.elamur.ai/free/en/papers/darwish-2016-farasa-new-fast-accurate-arabic/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Kareem Darwish, Hamdy Mubarak*2016 · 93 citations*
7. **[Improved Sentence-Level Arabic Dialect Classification](https://md.research.elamur.ai/free/en/papers/tillmann-2014-improved-sentence-level-arabic-dialect/) [Workshop on Applying NLP Tools to Similar Languages, Varieties and Dialects](https://md.research.elamur.ai/free/en/venues/workshop-on-applying-nlp-tools-to-similar-languages-varieties-and-dialects/)**Christoph Tillmann, Saab Mansour, Yaser Al-Onaizan*2014 · 63 citations*
8. **[Unsupervised Learning of Arabic Stemming Using a Parallel Corpus](https://md.research.elamur.ai/free/en/papers/rogati-2003-unsupervised-learning-arabic-stemming-parallel/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Monica Rogati, Scott McCarley, Yiming Yang*2003 · 62 citations*
9. **[Bridging the Inflection Morphology Gap for Arabic Statistical Machine Translation](https://md.research.elamur.ai/free/en/papers/zollmann-2006-bridging-inflection-morphology-gap-arabic/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Andreas Zollmann, Ashish Venugopal, Stephan Vogel*2006 · 58 citations*
10. **[The Impact of Morphological Stemming on Arabic Mention Detection and Coreference Resolution](https://md.research.elamur.ai/free/en/papers/zitouni-2005-impact-morphological-stemming-arabic-mention/) [ACL Workshop on Computational Approaches to Semitic Languages](https://md.research.elamur.ai/free/en/venues/acl-workshop-on-computational-approaches-to-semitic-languages/)**Imed Zitouni, Jeffrey Sorensen, Xiaoqiang Luo, et al.*2005 · 58 citations*
11. **[Arabic OCR Error Correction Using Character Segment Correction, Language Modeling, and Shallow Morphology](https://md.research.elamur.ai/free/en/papers/magdy-2006-arabic-ocr-error-correction-character/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Walid Magdy, Kareem Darwish*2006 · 47 citations*
12. [**Choosing an Optimal Architecture for Segmentation and POS-Tagging of Modern Hebrew**Roy Bar-Haim, Khalil Sima'an, Yoad Winter*2005 · 46 citations*](https://md.research.elamur.ai/free/en/papers/haim-2005-choosing-optimal-architecture-segmentation-pos/)
13. [**Using Stem-Templates to Improve Arabic POS and Gender/Number Tagging**Kareem Darwish, Ahmed Abdelali, Hamdy Mubarak*2014 · 37 citations*](https://md.research.elamur.ai/free/en/papers/darwish-2014-stem-templates-improve-arabic-pos/)
14. [**Smoothing a Lexicon-based POS Tagger for Arabic and Hebrew**Saib Manour, Khalil Sima'an, Yoad Winter*2007 · 34 citations*](https://md.research.elamur.ai/free/en/papers/manour-2007-smoothing-lexicon-based-pos-tagger/)
15. **[Examining the Effect of Improved Context Sensitive Morphology on Arabic Information Retrieval](https://md.research.elamur.ai/free/en/papers/darwish-2005-examining-effect-improved-context-sensitive/) [ACL Workshop on Computational Approaches to Semitic Languages](https://md.research.elamur.ai/free/en/venues/acl-workshop-on-computational-approaches-to-semitic-languages/)**Kareem Darwish, Hany Hassan, Ossama Emam*2005 · 25 citations*
16. **[An enhanced automatic speech recognition system for Arabic](https://md.research.elamur.ai/free/en/papers/menacer-2017-enhanced-automatic-speech-recognition-system/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Mohamed Amine Menacer, Odile Mella, Dominique Fohr, et al.*2017 · 24 citations*
17. **[Arabic Cross-Document Person Name Normalization](https://md.research.elamur.ai/free/en/papers/magdy-2007-arabic-cross-document-person-name/) [Workshop on Computational Approaches to Semitic Languages: Common Issues and Resources](https://md.research.elamur.ai/free/en/venues/workshop-on-computational-approaches-to-semitic-languages-common-issues-and/)**Walid Magdy, Kareem Darwish, Ossama Emam, et al.*2007 · 20 citations*
18. **[Morphology-aware Word-Segmentation in Dialectal Arabic Adaptation of Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/tawfik-2019-morphology-aware-word-segmentation-dialectal/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Ahmed Tawfik, Mahitab Emam, Khaled Essam, et al.*2019 · 18 citations*
19. [**A Probabilistic Morphological Analyzer for Syriac**Peter McClanahan, George Busby, Robbie Haertel, et al.*2010 · 11 citations*](https://md.research.elamur.ai/free/en/papers/mcclanahan-2010-probabilistic-morphological-analyzer-syriac/)
20. **[Arabic Retrieval Revisited: Morphological Hole Filling](https://md.research.elamur.ai/free/en/papers/darwish-2012-arabic-retrieval-revisited-morphological-hole/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Kareem Darwish, Ahmed Ali*2012 · 8 citations*
21. **[Arabic Word Segmentation for Better Unit of Analysis](https://md.research.elamur.ai/free/en/papers/benajiba-2010-arabic-word-segmentation-better-unit/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Yassine Benajiba, Imed Zitouni*2010 · 8 citations*
22. [**Arabic Morphological Analyzer with Agglutinative Affix Morphemes and Fusional Concatenation Rules**Fadi Zaraket, Jad Makhlouta*2012 · 4 citations*](https://md.research.elamur.ai/free/en/papers/zaraket-2012-arabic-morphological-analyzer-agglutinative-affix/)
23. [**Unsupervised Concept Discovery In Hebrew Using Simple Unsupervised Word Prefix Segmentation for Hebrew and Arabic**Elad Dinur, Dmitry Davidov, Ari Rappoport*2009 · 4 citations*](https://md.research.elamur.ai/free/en/papers/dinur-2009-unsupervised-concept-discovery-hebrew-simple/)

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

- [← back to](https://md.research.elamur.ai/free/en/papers/lee-2003-language-model-based-arabic-word/) — Language Model Based Arabic Word Segmentation