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.