---
title: "Who cites Word Segmentation of Informal — 23 citing papers"
description: "23 papers of the Elamur Research library cite «Word Segmentation of Informal Arabic with Domain Adaptation», found in their bibliographies…"
canonical: "https://research.elamur.ai/free/en/papers/monroe-2014-word-segmentation-informal-arabic-domain/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Word Segmentation of Informal Arabic with Domain…](https://md.research.elamur.ai/free/en/papers/monroe-2014-word-segmentation-informal-arabic-domain/) / cited by

# Who cites «Word Segmentation of Informal Arabic with Domain Adaptation»

23 papers of our library cite it (of the 149,439 whose bibliographies we read) · 10 with a page here, the most cited first · [← back to «Word Segmentation of Informal Arabic with Domain Adaptation»](https://md.research.elamur.ai/free/en/papers/monroe-2014-word-segmentation-informal-arabic-domain/)

1. [**Farasa: A Fast and Furious Segmenter for Arabic**Ahmed Abdelali, Kareem Darwish, Nadir Durrani, et al.*2016 · 507 citations*](https://md.research.elamur.ai/free/en/papers/abdelali-2016-farasa-fast-furious-segmenter-arabic/)
2. **[Arabic natural language processing: An overview](https://md.research.elamur.ai/free/en/papers/guellil-2019-arabic-natural-language-processing-overview/) [Journal of King Saud University - Computer and Information Sciences](https://md.research.elamur.ai/free/en/venues/journal-of-king-saud-university-computer-and-information-sciences/)**Imane Guellil, Houda Saadane, Faical Azouaou, et al.*2019 · 239 citations*
3. **[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*
4. [**A Neural Architecture for Dialectal Arabic Segmentation**Younes Samih, Mohammed Attia, Mohamed Eldesouki, et al.*2017 · 71 citations*](https://md.research.elamur.ai/free/en/papers/samih-2017-neural-architecture-dialectal-arabic-segmentation/)
5. **[Learning from Relatives: Unified Dialectal Arabic Segmentation](https://md.research.elamur.ai/free/en/papers/samih-2017-learning-relatives-unified-dialectal-arabic/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Younes Samih, Mohamed Eldesouki, Mohammed Attia, et al.*2017 · 37 citations*
6. [**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/)
7. **[Improved Generalization of Arabic Text Classifiers](https://md.research.elamur.ai/free/en/papers/khaddaj-2019-improved-generalization-arabic-text-classifiers/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Alaa Khaddaj, Hazem Hajj, Wassim El-Hajj*2019 · 10 citations*
8. **[Sentiment Classification of Arabic Documents: Experiments with multi-type features and ensemble algorithms](https://md.research.elamur.ai/free/en/papers/bayoudhi-2015-sentiment-classification-arabic-documents-experiments/) [Pacific Asia Conference on Language, Information and Computation (PACLIC)](https://md.research.elamur.ai/free/en/venues/paclic/)**Amine Bayoudhi, Hatem Ghorbel, Lamia Hadrich Belguith*2015 · 6 citations*
9. **[Segmentation for Domain Adaptation in Arabic](https://md.research.elamur.ai/free/en/papers/attia-2019-segmentation-domain-adaptation-arabic/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Mohammed Attia, Ali Elkahky*2019 · 5 citations*
10. [**Noor-Ghateh: A Benchmark Dataset for Evaluating Arabic Word Segmenters in Hadith Domain arXiv:2307.09630**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/)

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

- [← back to](https://md.research.elamur.ai/free/en/papers/monroe-2014-word-segmentation-informal-arabic-domain/) — Word Segmentation of Informal Arabic with Domain Adaptation