@inproceedings{5b6e75d754f4442f888a60defde15e23,
title = "Qcmuq@qalb-2015 shared task: Combining character level mt and error-tolerant finite-state recognition for arabic spelling correction",
abstract = "We describe the CMU-Q and QCRI's joint efforts in building a spelling correction system for Arabic in the QALB 2015 Shared Task. Our system is based on a hybrid pipeline that combines rule-based linguistic techniques with statistical methods using language modeling and machine translation, as well as an error-tolerant finite-state automata method. We trained and tested our spelling corrector using the dataset provided by the shared task organizers. Our system outperforms the baseline system and yeilds better correction quality with an F-score of 68.12 on L1- test-2015 testset and 38.90 on the L2-test- 2015. This ranks us 2nd in the L2 subtask and 5th in the L1 subtask.",
author = "Houda Bouamor and Hassan Sajjad and Nadir Durrani and Kemal Oflazer",
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 = "144--149",
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",
}