@inproceedings{8fc1150de9f1446e9b9374d53b4382a1,
title = "Sahsoh@qalb-2015 shared task: A rule-based correction method of common arabic native and non-native speakers' errors",
abstract = "This paper describes our participation in the QALB-2015 Automatic Correction of Arabic Text shared task. We employed various tools and external resources to build a rule based correction method. Hand written linguistic rules were added by using existing lexicons and regular expressions. We handled specific errors with dedicated rules reserved for nonnative speakers. The system is simple as it does not employ any sophisticated machine learning methods and it does not correct punctuation errors. The system achieved results comparable to other approaches when the punctuation errors are ignored with an F1 of 66.9% for native speakers' data and an F1 of 31.72% for the non-native speakers' data.",
author = "Wajdi Zaghouani and Taha Zerrouki and Amar Balla",
note = "Publisher Copyright: {\textcopyright} ACL 2015. All rights reserved.; 2nd Workshop on Arabic Natural Language Processing, ANLP 2015 ; Conference date: 30-07-2015",
year = "2015",
language = "English",
series = "2nd Workshop on Arabic Natural Language Processing, ANLP 2015 - held at 53rd Annual Meeting of the Association for Computational Linguistics, ACL 2015 - Proceedings",
publisher = "Association for Computational Linguistics (ACL)",
pages = "155--160",
editor = "Nizar Habash and Stephan Vogel and Kareem Darwish",
booktitle = "2nd Workshop on Arabic Natural Language Processing, ANLP 2015 - held at 53rd Annual Meeting of the Association for Computational Linguistics, ACL 2015 - Proceedings",
address = "United States",
}