Abstract
The Tunisian Dialect (TD) is an under-resourced language which lacks both corpora and Natural Language Processing (NLP) tools despite being increasingly used in spoken and written forms. In this paper, we presented our endeavour to build linguistic resources for TD in order to process disfluencies. First, we created the Disfluencies Corpus from Tunisian Arabic Transcriptions (DisCoTAT), which is a set of manual transcriptions with several disfluency phenomena. Also, we constructed the Tunisian Dialect Wordnet (TD-WordNet) from existing TD lexicons to annotate words with morpho-syntactic tags. Then, we developed the Disfluency Annotation Tool (DisAnT) in order to annotate DisCoTAT. DisAnT provides two levels of annotation: morpho-syntactic tagging and disfluency annotation.
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