---
title: "Who cites Don't Throw Those Morphological Analyzers Away…"
description: "39 papers of the Elamur Research library cite «Don't Throw Those Morphological Analyzers Away Just Yet: Neural Morphological Disambiguation for Arabic»…"
canonical: "https://research.elamur.ai/free/en/papers/zalmout-2017-don-t-throw-those-morphological/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/zalmout-2017-don-t-throw-those-morphological/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Don't Throw Those Morphological Analyzers Away…](https://md.research.elamur.ai/free/en/papers/zalmout-2017-don-t-throw-those-morphological/) / cited by

# Who cites «Don't Throw Those Morphological Analyzers Away Just Yet: Neural Morphological Disambiguation for Arabic»

39 papers of our library cite it (of the 140,884 whose bibliographies we read) · 21 with a page here, the most cited first · [← the paper](https://md.research.elamur.ai/free/en/papers/zalmout-2017-don-t-throw-those-morphological/)

1. [**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/)
2. [**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/)
3. [**An Arabic Morphological Analyzer and Generator with Copious Features**Dima Taji, Salam Khalifa, Ossama Obeid, et al.*2018 · 52 citations*](https://md.research.elamur.ai/free/en/papers/taji-2018-arabic-morphological-analyzer-generator-copious/)
4. [**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/)
5. [**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/)
6. [**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/)
7. [**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/)
8. [**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/)
9. [**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/)
10. [**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/)
11. [**A Pointer Network Architecture for Joint Morphological Segmentation and Tagging**Amit Seker, Reut Tsarfaty*2020 · 21 citations*](https://md.research.elamur.ai/free/en/papers/seker-2020-pointer-network-architecture-joint-morphological/)
12. [**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/)
13. [**Improving Arabic Diacritization by Learning to Diacritize and Translate**Brian Thompson, Ali Alshehri*2022 · 12 citations*](https://md.research.elamur.ai/free/en/papers/thompson-2022-improving-arabic-diacritization-learning-diacritize/)
14. [**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/)
15. [**Restoring Hebrew Diacritics Without a Dictionary**Elazar Gershuni, Yuval Pinter*2022 · 9 citations*](https://md.research.elamur.ai/free/en/papers/gershuni-2022-restoring-hebrew-diacritics-without-dictionary/)
16. [**TArC: Tunisian Arabish Corpus, First complete release**Elisa Gugliotta, Marco Dinarelli*2022 · 8 citations*](https://md.research.elamur.ai/free/en/papers/gugliotta-2022-tarc-tunisian-arabish-corpus-first/)
17. [**Camel Morph MSA: A Large-Scale Open-Source Morphological Analyzer for Modern Standard Arabic**Christian Khairallah, Salam Khalifa, Reham Marzouk, et al.*2024 · 7 citations*](https://md.research.elamur.ai/free/en/papers/khairallah-2024-camel-morph-msa-large-scale/)
18. [**Computational Morphology and Lexicography Modeling of Modern Standard Arabic Nominals**Christian Khairallah, Reham Marzouk, Salam Khalifa, et al.*2024 · 4 citations*](https://md.research.elamur.ai/free/en/papers/khairallah-2024-computational-morphology-lexicography-modeling-modern/)
19. [**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/)
20. [**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/)
21. [**Extractive Summarization for Arabic Documents Using SAraBERT with a Semantic Siamese Similarity Evaluation Metric**Sami Shames El Deen, Mariette Awad*2026*](https://md.research.elamur.ai/free/en/papers/deen-2026-extractive-summarization-arabic-documents-using/)

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

- [← back to](https://md.research.elamur.ai/free/en/papers/zalmout-2017-don-t-throw-those-morphological/) — Don't Throw Those Morphological Analyzers Away Just Yet: Neural Morphological Disambiguation for Arabic
