@inproceedings{b27ad7b1f59d471696e0299e6434849d,
title = "A Pipeline Approach to Supervised Error Correction for the QALB-2014 Shared Task",
abstract = "This paper describes our submission to the ANLP-2014 shared task on automatic Arabic error correction. We present a pipeline approach integrating an error detection model, a combination of character- and word-level translation models, a reranking model and a punctuation insertion model. We achieve an F1 score of 62.8% on the development set of the QALB corpus, and 58.6% on the official test set.",
author = "Nadi Tomeh and Nizar Habash and Ramy Eskander and {Le Roux}, Joseph",
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 (US)",
series = "ANLP 2014 - EMNLP 2014 Workshop on Arabic Natural Language Processing, Proceedings",
publisher = "Association for Computational Linguistics (ACL)",
pages = "114--120",
editor = "Nizar Habash and Stephan Vogel",
booktitle = "ANLP 2014 - EMNLP 2014 Workshop on Arabic Natural Language Processing, Proceedings",
}