Paper: Automatic Correction of Arabic Text: a Cascaded Approach

ACL ID W14-3617
Title Automatic Correction of Arabic Text: a Cascaded Approach
Venue Workshop on Arabic Natural Language Processing
Session
Year 2014
Authors

This paper describes the error correction model that we used for the Automatic Correction of Arabic Text shared task. We employed two correction mod- els, namely a character-level model and a case- specific model, and two punctuation recovery mod- els, 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.