We present a summary of the first shared task on automatic text correction for Arabic text.
The shared task received 18 systems submissions from nine teams in six countries and …

We present annotation guidelines and a web-based annotation framework developed as
part of an effort to create a manually annotated Arabic corpus of errors and corrections for …

We present a summary of QALB-2015, the second shared task on automatic text correction
of Arabic texts. The shared task extends QALB-2014, which focused on correcting errors in …

We present ARETA, an automatic error type annotation system for Modern Standard Arabic.
We design ARETA to address Arabic's morphological richness and orthographic ambiguity …

Automatic spelling and grammatical correction systems are one of the most widely used
tools within natural language applications. In this thesis, we assume the task of error …

We present our correction annotation guidelines to create a manually corrected nonnative
(L2) Arabic corpus. We develop our approach by extending an L1 large-scale Arabic corpus …

Annotation of second-language learner text is a cumbersome manual task which in turn
requires interpretation to postulate the intended meaning of the learner's language. This …

We present our guidelines and annotation procedure to create a human corrected machine
translated post-edited corpus for the Modern Standard Arabic. Our overarching goal is to use …

In this paper, we introduce MADARi, a joint morphological annotation and spelling
correction system for texts in Standard and Dialectal Arabic. The MADARi framework …

Recent developments in learner corpora have highlighted the growing role they play in
some linguistic and computational research areas such as language teaching and natural …