A Pipeline Approach to Supervised Error Correction for the QALB-2014 Shared Task
Nadi Tomeh, Nizar Y. Habash, Ramy Eskander, Joseph Le Roux · 2014
This paper describes our submission to the ANLP-2014 shared task on automatic Arabic error correction.We present a pipeline approach integrating an error detection model, a combination of character-and word-level translation models, a reranking model and a punctuation insertion model.We achieve an F 1 score of 62.8% on the development set of the QALB corpus, and 58.6% on the official test set.