---
title: "Who cites CMUQ@QALB-2014: An — 9 citing papers"
description: "9 papers of the Elamur Research library cite «CMUQ@QALB-2014: An SMT-based System for Automatic Arabic Error Correction», found in…"
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---
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# Who cites «CMUQ@QALB-2014: An SMT-based System for Automatic Arabic Error Correction»

9 papers of our library cite it (of the 149,439 whose bibliographies we read) · 8 with a page here, the most cited first · [← back to «CMUQ@QALB-2014: An SMT-based System for Automatic Arabic Error Correction»](https://md.research.elamur.ai/free/en/papers/jeblee-2014-cmuq-qalb-2014-smt-based/)

1. **[The First QALB Shared Task on Automatic Text Correction for Arabic](https://md.research.elamur.ai/free/en/papers/mohit-2014-first-qalb-shared-task-automatic/) [EMNLP Workshop on Arabic Natural Language Processing (ANLP)](https://md.research.elamur.ai/free/en/venues/emnlp-workshop-on-arabic-natural-language-processing-anlp/)**Behrang Mohit, Alla Rozovskaya, Nizar Habash, et al.*2014 · 153 citations*
2. **[Correction Annotation for Non-Native Arabic Texts: Guidelines and Corpus](https://md.research.elamur.ai/free/en/papers/zaghouani-2015-correction-annotation-non-native-arabic/) [Linguistic Annotation Workshop (LAW)](https://md.research.elamur.ai/free/en/venues/law/)**Wajdi Zaghouani, Nizar Habash, Houda Bouamor, et al.*2015 · 55 citations*
3. **[Automatic Error Type Annotation for Arabic](https://md.research.elamur.ai/free/en/papers/belkebir-2021-automatic-error-type-annotation-arabic/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Riadh Belkebir, Nizar Habash*2021 · 41 citations*
4. **[QCMUQ@QALB-2015 Shared Task: Combining Character level MT and Error-tolerant Finite-State Recognition for Arabic Spelling Correction](https://md.research.elamur.ai/free/en/papers/bouamor-2015-qcmuq-qalb-2015-shared-task/) [Workshop on Arabic Natural Language Processing](https://md.research.elamur.ai/free/en/venues/workshop-on-arabic-natural-language-processing/)**Houda Bouamor, Hassan Sajjad, Nadir Durrani, et al.*2015 · 16 citations*
5. **[UMMU@QALB-2015 Shared Task: Character and Word level SMT pipeline for Automatic Error Correction of Arabic Text](https://md.research.elamur.ai/free/en/papers/bougares-2015-ummu-qalb-2015-shared-task/) [Workshop on Arabic Natural Language Processing](https://md.research.elamur.ai/free/en/venues/workshop-on-arabic-natural-language-processing/)**Fethi Bougares, Houda Bouamor*2015 · 16 citations*
6. [**Tibyan Corpus: Balanced and Comprehensive Error Coverage Corpus Using ChatGPT for Arabic Grammatical Error Correction arXiv:2411.04588**Ahlam Alrehili, Areej Alhothali*2024 · 9 citations*](https://md.research.elamur.ai/free/en/papers/alrehili-2024-tibyan-corpus-balanced-comprehensive-error/)
7. [**Towards the Development of Balanced Synthetic Data for Correcting Grammatical Errors in Arabic: An Approach Based on Error Tagging Model and Synthetic Data Generating Model arXiv:2502.05312**Ahlam Alrehili, Areej Alhothali*2025 · 3 citations*](https://md.research.elamur.ai/free/en/papers/alrehili-2025-towards-development-balanced-synthetic-data/)
8. [**STAGEET: Stage-wise Typed Edit Tagging for Grammatical Error Correction with Arabic as a Case Study arXiv:2608.28614**Wenjie Lou, Alaa Mamdouh Akef*2026*](https://md.research.elamur.ai/free/en/papers/lou-2026-stageet-stage-wise-typed-edit/)

1 more paper of our library cites it; it has no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/papers/jeblee-2014-cmuq-qalb-2014-smt-based/) — CMUQ@QALB-2014: An SMT-based System for Automatic Arabic Error Correction
