Paper: TECHLIMED system description for the Shared Task on Automatic Arabic Error Correction

ACL ID W14-3621
Title TECHLIMED system description for the Shared Task on Automatic Arabic Error Correction
Venue Workshop on Arabic Natural Language Processing
Session
Year 2014
Authors

This article is a system description paper and reports on the participation of Tech- limed in the ?QALB-2014 shared task? on evaluation of automatic arabic error cor- rection systems organized in conjunction with the EMNLP 2014 Workshop on Ara- bic Natural Language Processing. Cor- recting automatically texts in Arabic is a challenging task due to the complexity and rich morphology of the Arabic language and the lack of appropriate resources, (e.g. publicly available corpora and tools). To develop our systems, we considered sev- eral approaches from rule based systems to statistical methods. Our results on the development set show that the statistical system outperforms the lexicon driven ap- proach with a precision of 71%, a recall of 50% and a F-measure of 59%.