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We present a summary of the first shared task on automatic text correction for Ara-bic text. The shared task received 18 systems submissions from nine teams in six countries and represented a diversity of approaches. Our report includes an overview of the QALB corpus which was the source of the datasets used for training and evaluation , an overview of(More)
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 various text types. Such a corpus will be invaluable for developing Arabic error correction tools, both for training models and as a gold standard for evaluating error correction(More)
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 Arabic texts produced by native speakers of Arabic. The competition this year, in addition to native data, includes texts produced by learners of Arabic as a foreign language. The(More)
We demonstrate a web-based, language-independent annotation framework used for manual correction of a large Arabic corpus. Our framework provides intuitive interfaces for annotating text and managing the annotation process. We describe the details of both the annotation and the administration interfaces as well as the back-end engine. We also show how this(More)
Arabic script writing is typically under-specified for short vowels and other mark up, referred to as diacritics. Apart from the lexical ambiguity found in words, similar to that exhibited in other languages, the lack of diacritics in written Arabic script adds another layer of ambiguity which is an artifact of the orthography. Diacritiza-tion of written(More)
Preface Given the success of our first Workshop on Free/Open-Source Arabic Corpora and Corpora Processing Tools in LREC 2014 where three of the presented papers received 15 citations up to now. The second workshop on Free/Open-Source Arabic Corpora and Corpora Processing Tools (OSACT2) with special emphasis on Arabic social media text processing and(More)
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