---
title: "Who cites Using Deep Morphology to Improve — 8 citing papers"
description: "8 papers of the Elamur Research library cite «Using Deep Morphology to Improve Automatic Error Detection in Arabic Handwriting…"
canonical: "https://research.elamur.ai/free/en/papers/habash-2011-deep-morphology-improve-automatic-error/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/habash-2011-deep-morphology-improve-automatic-error/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Using Deep Morphology to Improve Automatic Error…](https://md.research.elamur.ai/free/en/papers/habash-2011-deep-morphology-improve-automatic-error/) / cited by

# Who cites «Using Deep Morphology to Improve Automatic Error Detection in Arabic Handwriting Recognition»

8 papers of our library cite it (of the 149,439 whose bibliographies we read) · 3 with a page here, the most cited first · [← back to «Using Deep Morphology to Improve Automatic Error Detection in Arabic Handwriting Recognition»](https://md.research.elamur.ai/free/en/papers/habash-2011-deep-morphology-improve-automatic-error/)

1. **[Advancements in Arabic Grammatical Error Detection and Correction: An Empirical Investigation](https://md.research.elamur.ai/free/en/papers/alhafni-2023-advancements-arabic-grammatical-error-detection/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Bashar Alhafni, Go Inoue, Christian Khairallah, et al.*2023 · 38 citations*
2. **[Reranking with Linguistic and Semantic Features for Arabic Optical Character Recognition](https://md.research.elamur.ai/free/en/papers/tomeh-2013-reranking-linguistic-semantic-features-arabic/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Nadi Tomeh, Nizar Habash, Ryan Roth, et al.*2013 · 10 citations*
3. **[SAHSOH@QALB-2015 Shared Task: A Rule-Based Correction Method of Common Arabic Native and Non-Native Speakers' Errors](https://md.research.elamur.ai/free/en/papers/zaghouani-2015-sahsoh-qalb-2015-shared-task/) [Workshop on Arabic Natural Language Processing](https://md.research.elamur.ai/free/en/venues/workshop-on-arabic-natural-language-processing/)**Wajdi Zaghouani, Taha Zerrouki, Amar Balla*2015 · 8 citations*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/habash-2011-deep-morphology-improve-automatic-error/) — Using Deep Morphology to Improve Automatic Error Detection in Arabic Handwriting Recognition