@inproceedings{1e83358c7d264889958754b7de150e9d,
title = "CMUQ@QALB-2014: An SMT-based System for Automatic Arabic Error Correction",
abstract = "In this paper, we describe the CMUQ system we submitted to The ANLP-QALB 2014 Shared Task on Automatic Text Correction for Arabic. Our system combines rule-based linguistic techniques with statistical language modeling techniques and machine translation-based methods. Our system outperforms the baseline and reaches an F-score of 65.42% on the test set of QALB corpus. This ranks us 3rd in the competition.",
author = "Serena Jeblee and Houda Bouamor and Wajdi Zaghouani and Kemal Oflazer",
note = "Publisher Copyright: {\textcopyright}2014 Association for Computational Linguistics; EMNLP 2014 Workshop on Arabic Natural Language Processing, ANLP 2014 ; Conference date: 25-10-2014",
year = "2014",
language = "English",
series = "ANLP 2014 - EMNLP 2014 Workshop on Arabic Natural Language Processing, Proceedings",
publisher = "Association for Computational Linguistics (ACL)",
pages = "137--142",
editor = "Nizar Habash and Stephan Vogel",
booktitle = "ANLP 2014 - EMNLP 2014 Workshop on Arabic Natural Language Processing, Proceedings",
address = "United States",
}