---
title: "Who cites QCMUQ@QALB-2015 Shared — 2 citing papers"
description: "2 papers of the Elamur Research library cite «QCMUQ@QALB-2015 Shared Task: Combining Character level MT and Error-tolerant…"
canonical: "https://research.elamur.ai/free/en/papers/bouamor-2015-qcmuq-qalb-2015-shared-task/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [QCMUQ@QALB-2015 Shared Task: Combining Character…](https://md.research.elamur.ai/free/en/papers/bouamor-2015-qcmuq-qalb-2015-shared-task/) / cited by

# Who cites «QCMUQ@QALB-2015 Shared Task: Combining Character level MT and Error-tolerant Finite-State Recognition for Arabic Spelling Correction»

2 papers of our library cite it (of the 149,439 whose bibliographies we read) · 2 with a page here, the most cited first · [← back to «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/)

1. **[The Second QALB Shared Task on Automatic Text Correction for Arabic](https://md.research.elamur.ai/free/en/papers/rozovskaya-2015-second-qalb-shared-task-automatic/) [Workshop on Arabic Natural Language Processing](https://md.research.elamur.ai/free/en/venues/workshop-on-arabic-natural-language-processing/)**Alla Rozovskaya, Houda Bouamor, Nizar Habash, et al.*2015 · 96 citations*
2. **[Correcting Arabic Soft Spelling Mistakes using BiLSTM-based Machine Learning](https://md.research.elamur.ai/free/en/papers/abandah-2021-correcting-arabic-soft-spelling-mistakes/) [International Journal of Advanced Computer Science and Applications](https://md.research.elamur.ai/free/en/venues/international-journal-of-advanced-computer-science-and-applications/)**Gheith A. Abandah, Ashraf Suyyagh, Mohammed Z. Khedher*2021 · 20 citations*
- [← back to](https://md.research.elamur.ai/free/en/papers/bouamor-2015-qcmuq-qalb-2015-shared-task/) — QCMUQ@QALB-2015 Shared Task: Combining Character level MT and Error-tolerant Finite-State Recognition for Arabic Spelling Correction
