---
title: "Who cites An Open-Source Finite State Morphological…"
description: "16 papers of the Elamur Research library cite «An Open-Source Finite State Morphological Transducer for Modern Standard Arabic», found in their…"
canonical: "https://research.elamur.ai/free/en/papers/attia-2011-open-source-finite-state-morphological/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/attia-2011-open-source-finite-state-morphological/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [An Open-Source Finite State Morphological…](https://md.research.elamur.ai/free/en/papers/attia-2011-open-source-finite-state-morphological/) / cited by

# Who cites «An Open-Source Finite State Morphological Transducer for Modern Standard Arabic»

16 papers of our library cite it (of the 140,884 whose bibliographies we read) · 7 with a page here, the most cited first · [← the paper](https://md.research.elamur.ai/free/en/papers/attia-2011-open-source-finite-state-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. [**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/)
3. [**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/)
4. [**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/)
5. [**Jabalin: a Comprehensive Computational Model of Modern Standard Arabic Verbal Morphology Based on Traditional Arabic Prosody**Alicia Gonzalez Martinez, Susana Lopez Hervas, Doaa Samy, et al.*2013 · 1 citation*](https://md.research.elamur.ai/free/en/papers/martinez-2014-jabalin-comprehensive-computational-model-modern/)
6. [**Conversion of Procedural Morphologies to Finite-State Morphologies: A Case Study of Arabic**Mans Hulden, Younes Samih*2012 · 1 citation*](https://md.research.elamur.ai/free/en/papers/hulden-2012-conversion-procedural-morphologies-finite-state/)
7. [**Grounding Arabic LLMs in the Doha Historical Dictionary: Retrieval-Augmented Understanding of Quran and Hadith**Somaya Eltanbouly, Samer Rashwani*2026*](https://md.research.elamur.ai/free/en/papers/eltanbouly-2026-grounding-arabic-llms-doha-historical/)

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

- [← back to](https://md.research.elamur.ai/free/en/papers/attia-2011-open-source-finite-state-morphological/) — An Open-Source Finite State Morphological Transducer for Modern Standard Arabic