Automatic Correction of Arabic Text: a Cascaded Approach
نویسندگان
چکیده
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 casespecific 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.
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