@inproceedings{82c97d80768d4d5bb21f03055885b050,
title = "Automatic Correction of Arabic Text: a Cascaded Approach",
abstract = "This paper describes the error correction model that we used for the Automatic Correction of Arabic Text shared task. We employed two correction models, namely a character-level model and a case-specific model, and two punctuation recovery models, namely a simple statistical model and a CRF model. Our results on the development set suggest that using a cascaded correction model yields the best results.",
author = "Hamdy Mubarak and Kareem Darwish",
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",
doi = "10.3115/v1/w14-3617",
language = "English",
series = "ANLP 2014 - EMNLP 2014 Workshop on Arabic Natural Language Processing, Proceedings",
publisher = "Association for Computational Linguistics (ACL)",
pages = "132--136",
editor = "Nizar Habash and Stephan Vogel",
booktitle = "ANLP 2014 - EMNLP 2014 Workshop on Arabic Natural Language Processing, Proceedings",
address = "United States",
}