@inproceedings{3db32b1187a74d77b562c91c8f75ffc8,
title = "Correction annotation for non-native Arabic texts: Guidelines and corpus",
abstract = "We present our correction annotation guidelines to create a manually corrected nonnative (L2) Arabic corpus. We develop our approach by extending an L1 large-scale Arabic corpus and its manual corrections, to include manually corrected non-native Arabic learner essays. Our overarching goal is to use the annotated corpus to develop components for automatic detection and correction of language errors that can be used to help Standard Arabic learners (native and non-native) improve the quality of the Arabic text they produce. The created corpus of L2 text manual corrections is the largest to date. We evaluate our guidelines using inter-annotator agreement and show a high degree of consistency.",
author = "Wajdi Zaghouani and Nizar Habash and Houda Bouamor and Alla Rozovskaya and Behrang Mohit and Abeer Heider and Kemal Oflazer",
note = "Publisher Copyright: {\textcopyright} 2015 Association for Computational Linguistics; 9th Linguistic Annotation Workshop, LAW 2015, held in conjuncion with NAACL 2015 ; Conference date: 05-06-2015",
year = "2015",
language = "English (US)",
series = "LAW 2015 - 9th Linguistic Annotation Workshop, held in conjuncion with NAACL 2015 - Proceedings of the Workshop",
publisher = "Association for Computational Linguistics (ACL)",
pages = "129--139",
editor = "Adam Meyers and Ines Rehbein and Heike Zinsmeister",
booktitle = "LAW 2015 - 9th Linguistic Annotation Workshop, held in conjuncion with NAACL 2015 - Proceedings of the Workshop",
}