The First QALB Shared Task on Automatic Text Correction for Arabic

We present a summary of the first shared task on automatic text correction for Ara-bic text. The shared task received 18 sys-tems submissions from nine teams in six countries and represented a diversity of ap-proaches. Our report includes an overview of the QALB corpus which was the source of the datasets used for training and eval-uation, an overview of participating sys-tems, results of the competition and an analysis of the results and systems. 1