---
title: "Who cites MADAMIRA: A Fast, Comprehensive Tool for…"
description: "252 papers of the Elamur Research library cite «MADAMIRA: A Fast, Comprehensive Tool for Morphological Analysis and Disambiguation of Arabic», found in…"
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---
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# Who cites «MADAMIRA: A Fast, Comprehensive Tool for Morphological Analysis and Disambiguation of Arabic»

252 papers of our library cite it (of the 140,884 whose bibliographies we read) · 68 with a page here, the most cited first · [← the paper](https://md.research.elamur.ai/free/en/papers/pasha-2014-madamira-fast-comprehensive-tool-morphological/)

1. [**Farasa: A Fast and Furious Segmenter for Arabic**Ahmed Abdelali, Kareem Darwish, Nadir Durrani, et al.*2016 · 506 citations*](https://md.research.elamur.ai/free/en/papers/abdelali-2016-farasa-fast-furious-segmenter-arabic/)
2. [**What do Neural Machine Translation Models Learn about Morphology?**Yonatan Belinkov, Nadir Durrani, Fahim Dalvi, et al.*2017 · 485 citations*](https://md.research.elamur.ai/free/en/papers/belinkov-2017-what-do-neural-machine-translation/)
3. [**The Interplay of Variant, Size, and Task Type in Arabic Pre-trained Language Models**Go Inoue, Bashar Alhafni, Nurpeiis Baimukan, et al.*2021 · 365 citations*](https://md.research.elamur.ai/free/en/papers/inoue-2021-interplay-variant-size-task-type/)
4. [**CAMeL Tools: An Open Source Python Toolkit for Arabic Natural Language Processing**Ossama Obeid, Nasser Zalmout, Salam Khalifa, et al.*2020 · 288 citations*](https://md.research.elamur.ai/free/en/papers/obeid-2020-camel-tools-open-source-python/)
5. [**A review of sentiment analysis research in Arabic language**Oumaima Oueslati; Erik Cambria; Moez Ben HajHmida;, Habib Ounelli*2020 · 241 citations*](https://md.research.elamur.ai/free/en/papers/oueslati-2020-review-sentiment-analysis-research-arabic/)
6. [**Arabic natural language processing: An overview**Imane Guellil, Houda Saadane, Faical Azouaou, et al.*2019 · 239 citations*](https://md.research.elamur.ai/free/en/papers/guellil-2019-arabic-natural-language-processing-overview/)
7. [**Fine-Grained Arabic Dialect Identification**Mohammad Salameh, Houda Bouamor, Nizar Habash*2018 · 191 citations*](https://md.research.elamur.ai/free/en/papers/salameh-2018-fine-grained-arabic-dialect-identification/)
8. [**Integrating Stance Detection and Fact Checking in a Unified Corpus**Ramy Baly, Mitra Mohtarami, James Glass, et al.*2018 · 186 citations*](https://md.research.elamur.ai/free/en/papers/baly-2018-integrating-stance-detection-fact-checking/)
9. [**A Multidialectal Parallel Corpus of Arabic**Houda Bouamor, Nizar Habash, Kemal Oflazer*2014 · 175 citations*](https://md.research.elamur.ai/free/en/papers/bouamor-2014-multidialectal-parallel-corpus-arabic/)
10. [**Large Scale Arabic Error Annotation: Guidelines and Framework**Wajdi Zaghouani, Behrang Mohit, Nizar Habash, et al.*2014 · 160 citations*](https://md.research.elamur.ai/free/en/papers/zaghouani-2014-large-scale-arabic-error-annotation/)
11. [**Unified Guidelines and Resources for Arabic Dialect Orthography**Nizar Habash, Fadhl Eryani, Salam Khalifa, et al.*2018 · 117 citations*](https://md.research.elamur.ai/free/en/papers/habash-2018-unified-guidelines-resources-arabic-dialect/)
12. [**Arabic Diacritization: Stats, Rules, and Hacks**Kareem Darwish, Hamdy Mubarak, Ahmed Abdelali*2017 · 114 citations*](https://md.research.elamur.ai/free/en/papers/darwish-2017-arabic-diacritization-stats-rules-hacks/)
13. [**Don't Throw Those Morphological Analyzers Away Just Yet: Neural Morphological Disambiguation for Arabic**Nasser Zalmout, Nizar Habash*2017 · 96 citations*](https://md.research.elamur.ai/free/en/papers/zalmout-2017-don-t-throw-those-morphological/)
14. [**Arabic Text Diacritization Using Deep Neural Networks**Ali Fadel, Ibraheem Tuffaha, Bara' Al-Jawarneh, et al.*2019 · 71 citations*](https://md.research.elamur.ai/free/en/papers/fadel-2019-arabic-text-diacritization-using-deep/)
15. [**A Neural Architecture for Dialectal Arabic Segmentation**Younes Samih, Mohammed Attia, Mohamed Eldesouki, et al.*2017 · 70 citations*](https://md.research.elamur.ai/free/en/papers/samih-2017-neural-architecture-dialectal-arabic-segmentation/)
16. [**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/)
17. [**Universal Dependencies for Arabic**Dima Taji, Nizar Habash, Daniel Zeman*2017 · 52 citations*](https://md.research.elamur.ai/free/en/papers/taji-2017-universal-dependencies-arabic/)
18. [**Joint Diacritization, Lemmatization, Normalization, and Fine-Grained Morphological Tagging**Nasser Zalmout, Nizar Habash*2020 · 44 citations*](https://md.research.elamur.ai/free/en/papers/zalmout-2020-joint-diacritization-lemmatization-normalization-fine/)
19. [**CamelParser: A system for Arabic Syntactic Analysis and Morphological Disambiguation**Anas Shahrour, Salam Khalifa, Dima Taji, et al.*2016 · 44 citations*](https://md.research.elamur.ai/free/en/papers/shahrour-2016-camelparser-system-arabic-syntactic-analysis/)
20. [**Noise-Robust Morphological Disambiguation for Dialectal Arabic**Nasser Zalmout, Alexander Erdmann, Nizar Habash*2018 · 42 citations*](https://md.research.elamur.ai/free/en/papers/zalmout-2018-noise-robust-morphological-disambiguation-dialectal/)
21. [**Adversarial Multitask Learning for Joint Multi-Feature and Multi-Dialect Morphological Modeling**Nasser Zalmout, Nizar Habash*2019 · 37 citations*](https://md.research.elamur.ai/free/en/papers/zalmout-2019-adversarial-multitask-learning-joint-multi/)
22. [**Morphologically Annotated Corpora for Seven Arabic Dialects: Taizi, Sanaani, Najdi, Jordanian, Syrian, Iraqi and Moroccan**Faisal Alshargi, Shahd Dibas, Sakhar Alkhereyf, et al.*2019 · 34 citations*](https://md.research.elamur.ai/free/en/papers/alshargi-2019-morphologically-annotated-corpora-seven-arabic/)
23. [**Neural Arabic Text Diacritization: State of the Art Results and a Novel Approach for Machine Translation**Ali Fadel, Ibraheem Tuffaha, Bara' Al-Jawarneh, et al.*2019 · 32 citations*](https://md.research.elamur.ai/free/en/papers/fadel-2019-neural-arabic-text-diacritization-state/)
24. [**A Spelling Correction Corpus for Multiple Arabic Dialects**Fadhl Eryani, Nizar Habash, Houda Bouamor, et al.*2020 · 31 citations*](https://md.research.elamur.ai/free/en/papers/eryani-2020-spelling-correction-corpus-multiple-arabic/)
25. [**The SAMER Arabic Text Simplification Corpus**Bashar Alhafni, Reem Hazim, Juan David Pineros Liberato, et al.*2024 · 30 citations*](https://md.research.elamur.ai/free/en/papers/alhafni-2024-samer-arabic-text-simplification-corpus/)
26. [**Arabic Word-level Readability Visualization for Assisted Text Simplification**Reem Hazim, Hind Saddiki, Bashar Alhafni, et al.*2022 · 29 citations*](https://md.research.elamur.ai/free/en/papers/hazim-2022-arabic-word-level-readability-visualization/)
27. [**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/)
28. [**Camelira: An Arabic Multi-Dialect Morphological Disambiguator**Ossama Obeid, Go Inoue, Nizar Habash*2022 · 27 citations*](https://md.research.elamur.ai/free/en/papers/obeid-2022-camelira-arabic-multi-dialect-morphological/)
29. [**A Large-Scale Leveled Readability Lexicon for Standard Arabic**Muhamed Al Khalil, Nizar Habash, Zhengyang Jiang*2020 · 26 citations*](https://md.research.elamur.ai/free/en/papers/khalil-2020-large-scale-leveled-readability-lexicon/)
30. [**Challenging Language-Dependent Segmentation for Arabic: An Application to Machine Translation and Part-of-Speech Tagging**Hassan Sajjad, Fahim Dalvi, Nadir Durrani, et al.*2017 · 26 citations*](https://md.research.elamur.ai/free/en/papers/sajjad-2017-challenging-language-dependent-segmentation-arabic/)
31. [**Improving Arabic Diacritization with Regularized Decoding and Adversarial Training**Han Qin, Guimin Chen, Yuanhe Tian, et al.*2021 · 25 citations*](https://md.research.elamur.ai/free/en/papers/qin-2021-improving-arabic-diacritization-regularized-decoding/)
32. [**Build Fast and Accurate Lemmatization for Arabic**Hamdy Mubarak*2018 · 25 citations*](https://md.research.elamur.ai/free/en/papers/mubarak-2018-build-fast-accurate-lemmatization-arabic/)
33. [**Morphological Word Embeddings for Arabic Neural Machine Translation in Low-Resource Settings**Pamela Shapiro, Kevin Duh*2018 · 25 citations*](https://md.research.elamur.ai/free/en/papers/shapiro-2018-morphological-word-embeddings-arabic-neural/)
34. [**Morphological Analysis and Disambiguation for Gulf Arabic: The Interplay between Resources and Methods**Salam Khalifa, Nasser Zalmout, Nizar Habash*2020 · 24 citations*](https://md.research.elamur.ai/free/en/papers/khalifa-2020-morphological-analysis-disambiguation-gulf-arabic/)
35. [**The Arabic Parallel Gender Corpus 2.0: Extensions and Analyses**Bashar Alhafni, Nizar Habash, Houda Bouamor*2022 · 21 citations*](https://md.research.elamur.ai/free/en/papers/alhafni-2022-arabic-parallel-gender-corpus-2/)
36. [**An Arabic Dependency Treebank in the Travel Domain**Dima Taji, Jamila El Gizuli, Nizar Habash*2019 · 19 citations*](https://md.research.elamur.ai/free/en/papers/taji-2019-arabic-dependency-treebank-travel-domain/)
37. [**Camel Treebank: An Open Multi-genre Arabic Dependency Treebank**Nizar Habash, Muhammed AbuOdeh, Dima Taji, et al.*2022 · 17 citations*](https://md.research.elamur.ai/free/en/papers/habash-2022-camel-treebank-open-multi-genre/)
38. [**Arabic Multi-Dialect Segmentation: bi-LSTM-CRF vs. SVM**Mohamed Eldesouki, Younes Samih, Ahmed Abdelali, et al.*2017 · 16 citations*](https://md.research.elamur.ai/free/en/papers/eldesouki-2017-arabic-multi-dialect-segmentation-bi/)
39. [**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/)
40. [**SaudiBERT: A Large Language Model Pretrained on Saudi Dialect Corpora**Faisal Qarah*2024 · 14 citations*](https://md.research.elamur.ai/free/en/papers/qarah-2024-saudibert-large-language-model-pretrained/)
41. [**Morphotactic Modeling in an Open-source Multi-dialectal Arabic Morphological Analyzer and Generator**Nizar Habash, Reham Marzouk, Christian Khairallah, et al.*2022 · 14 citations*](https://md.research.elamur.ai/free/en/papers/habash-2022-morphotactic-modeling-open-source-multi/)
42. [**CamelParser2.0: A State-of-the-Art Dependency Parser for Arabic**Ahmed Elshabrawy, Muhammed AbuOdeh, Go Inoue, et al.*2023 · 13 citations*](https://md.research.elamur.ai/free/en/papers/elshabrawy-2023-camelparser2-0-state-art-dependency/)
43. [**Restoring Arabic vowels through omission-tolerant dictionary lookup**Alexis Amid Neme, Sebastien Paumier*2019 · 12 citations*](https://md.research.elamur.ai/free/en/papers/neme-2019-restoring-arabic-vowels-through-omission/)
44. [**CBAS: context based arabic stemmer**Mahmoud El-Defrawy, Yasser El-Sonbaty, Nahla A. Belal*2015 · 12 citations*](https://md.research.elamur.ai/free/en/papers/el-defrawy-2015-cbas-context-based-arabic-stemmer/)
45. [**Towards Arabic Sentence Simplification via Classification and Generative Approaches**Nouran Khallaf, Serge Sharoff, Rasha Soliman*2022 · 10 citations*](https://md.research.elamur.ai/free/en/papers/khallaf-2022-arabic-sentence-simplification-classification-generative/)
46. [**Advancing Dialectal Arabic to Modern Standard Arabic Machine Translation**Abdullah Alabdullah, Lifeng Han, Chenghua Lin*2025 · 8 citations*](https://md.research.elamur.ai/free/en/papers/alabdullah-2025-advancing-dialectal-arabic-modern-standard/)
47. [**Arabic Diacritization Using Morphologically Informed Character-Level Model**Muhammad Morsy Elmallah, Mahmoud Reda, Kareem Darwish, et al.*2024 · 7 citations*](https://md.research.elamur.ai/free/en/papers/elmallah-2024-arabic-diacritization-morphologically-informed-character/)
48. [**Gulf Arabic Linguistic Resource Building for Sentiment Analysis**Wafia Adouane, Richard Johansson*2016 · 7 citations*](https://md.research.elamur.ai/free/en/papers/adouane-2016-gulf-arabic-linguistic-resource-building/)
49. [**Unsupervised Construction of a Lexicon and a Repository of Variation Patterns for Arabic Modal Multiword Expressions**Rania Al-Sabbagh, Roxana Girju, Jana Diesner*2014 · 6 citations*](https://md.research.elamur.ai/free/en/papers/sabbagh-2014-unsupervised-construction-lexicon-repository-variation/)
50. [**SinaTools: Open Source Toolkit for Arabic Natural Language Processing**Tymaa Hammouda, Mustafa Jarrar, Mohammed Khalilia*2024 · 5 citations*](https://md.research.elamur.ai/free/en/papers/hammouda-2024-sinatools-open-source-toolkit-arabic/)
51. [**Take the Hint: Improving Arabic Diacritization with Partially-Diacritized Text**Parnia Bahar, Mattia Di Gangi, Nick Rossenbach, et al.*2023 · 5 citations*](https://md.research.elamur.ai/free/en/papers/bahar-2023-take-hint-improving-arabic-diacritization/)
52. [**The Landscape of Arabic Large Language Models (ALLMs): A New Era for Arabic Language Technology**Shahad Al-Khalifa; Nadir Durrani; Hend Al-Khalifa;, Firoj Alam*2025 · 4 citations*](https://md.research.elamur.ai/free/en/papers/al-khalifa-2025-landscape-arabic-large-language-models/)
53. [**Fixing the Infix: Unsupervised Discovery of Root-and-Pattern Morphology**Tarek Sakakini, Suma Bhat, Pramod Viswanath*2017 · 4 citations*](https://md.research.elamur.ai/free/en/papers/sakakini-2017-fixing-infix-unsupervised-discovery-root/)
54. [**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/)
55. [**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/)
56. [**ANER: Arabic and Arabizi Named Entity Recognition using Transformer-Based Approach**Abdelrahman "Boda" Sadallah, Omar Ahmed, Shimaa Mohamed, et al.*2023 · 3 citations*](https://md.research.elamur.ai/free/en/papers/sadallah-2023-aner-arabic-arabizi-named-entity/)
57. [**Applying the Cognitive Machine Translation Evaluation Approach to Arabic**Irina Temnikova, Wajdi Zaghouani, Stephan Vogel, et al.*2016 · 3 citations*](https://md.research.elamur.ai/free/en/papers/temnikova-2016-applying-cognitive-machine-translation-evaluation/)
58. [**Lemmatization as a Classification Task: Results from Arabic across Multiple Genres**Mostafa Saeed, Nizar Habash*2025 · 2 citations*](https://md.research.elamur.ai/free/en/papers/saeed-2025-lemmatization-as-classification-task-results/)
59. [**The Bahrain Corpus: A Multi-genre Corpus of Bahraini Arabic**Dana Abdulrahim, Go Inoue, Latifa Shamsan, et al.*2022 · 2 citations*](https://md.research.elamur.ai/free/en/papers/abdulrahim-2022-bahrain-corpus-multi-genre-corpus/)
60. [**DALILA: The Dialectal Arabic Linguistic Learning Assistant**Salam Khalifa, Houda Bouamor, Nizar Habash*2016 · 2 citations*](https://md.research.elamur.ai/free/en/papers/khalifa-2016-dalila-dialectal-arabic-linguistic-learning/)
61. [**A Derivational ChainBank for Modern Standard Arabic**Reham Marzouk, Sondos Krouna, Nizar Habash*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/marzouk-2025-derivational-chainbank-modern-standard-arabic/)
62. [**Noor-Ghateh: A Benchmark Dataset for Evaluating Arabic Word Segmenters in Hadith Domain**Huda AlShuhayeb, Behrouz Minaei-Bidgoli, Mohammad E. Shenassa, et al.*2023 · 1 citation*](https://md.research.elamur.ai/free/en/papers/alshuhayeb-2023-noor-ghateh-benchmark-dataset-evaluating/)
63. [**Enhancing Deep Learning with Embedded Features for Arabic Named Entity Recognition**Ali L. Hatab, Caroline Sabty, Slim Abdennadher*2022 · 1 citation*](https://md.research.elamur.ai/free/en/papers/hatab-2022-enhancing-deep-learning-embedded-features/)
64. [**A Comprehensive Full-Form Lexicon for Arabic NLP and Speech Technology**Yannis Haralambous, Jack Halpern*2026*](https://md.research.elamur.ai/free/en/papers/haralambous-2026-comprehensive-full-form-lexicon-arabic/)
65. [**Arabic Morphosyntactic Tagging and Dependency Parsing with Large Language Models**Mohamed Adel, Bashar Alhafni, Nizar Habash*2026*](https://md.research.elamur.ai/free/en/papers/adel-2026-arabic-morphosyntactic-tagging-dependency-parsing/)
66. [**Benchmarking Arabic — Russian Machine Translation: A Comparison of Fine-tuned NMT and Few-shot LLMs under Rich Morphology and Low Lexical Overlap**Mullosharaf K. Arabov*2026*](https://md.research.elamur.ai/free/en/papers/arabov-2026-benchmarking-arabic-russian-machine-translation/)
67. [**Quantum Compositional NLP for Arabic: Grammar, Morphology, and Word Sense in Circuit Topology**Wajahath Mohammed*2026*](https://md.research.elamur.ai/free/en/papers/mohammed-2026-quantum-compositional-nlp-arabic-grammar/)
68. [**Semitic Root Encoding: Tokenization Based on the Templatic Morphology of Semitic Languages in NMT**Brendan T. Hatch, Stephen D. Richardson*2025*](https://md.research.elamur.ai/free/en/papers/hatch-2025-semitic-root-encoding-tokenization-based/)

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

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