A New Morphological Annotation Tool for Arabic Texts

Abstract

We present a new Arabic annotation web application that aims to associate tags to the words of the vocalized Hadiths corpus. The application assures a collaborative space between many annotators. Each annotator treats one or more Hadith from his/her personal session. We analyze each Hadith using AlKhalil morphological analyzer. The annotator rectifies the analysis and assigns the accurate annotation values. Annotation includes the segmentation of a word, the POS tag, the root and the pattern. The final annotation results of the corpus are structured in XML files. We can display, also, the annotation results in a Treebank. Our tool is considered as a crowdsourcing solution that uses contributions from various annotators to obtain an annotated Arabic coprus. This resource may be used as a standard collection to experiment NLP researches.