Summary of the paper

Title MADAD: A Readability Annotation Tool for Arabic Text
Authors Nora Al-Twairesh, Abeer Al-Dayel, Hend Al-Khalifa, Maha Al-Yahya, Sinaa Alageel, Nora Abanmy and Nouf Al-Shenaifi
Abstract This paper introduces MADAD, a general-purpose annotation tool for Arabic text with focus on readability annotation. This tool will help in overcoming the problem of lack of Arabic readability training data by providing an online environment to collect readability assessments on various kinds of corpora. Also the tool supports a broad range of annotation tasks for various linguistic and semantic phenomena by allowing users to create their customized annotation schemes. MADAD is a web-based tool, accessible through any web browser; the main features that distinguish MADAD are its flexibility, portability, customizability and its bilingual interface (Arabic/English).
Topics Tools, Systems, Applications, LR Infrastructures and Architectures, Corpus (Creation, Annotation, etc.)
Full paper MADAD: A Readability Annotation Tool for Arabic Text
Bibtex @InProceedings{ALTWAIRESH16.619,
  author = {Nora Al-Twairesh and Abeer Al-Dayel and Hend Al-Khalifa and Maha Al-Yahya and Sinaa Alageel and Nora Abanmy and Nouf Al-Shenaifi},
  title = {MADAD: A Readability Annotation Tool for Arabic Text},
  booktitle = {Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016)},
  year = {2016},
  month = {may},
  date = {23-28},
  location = {Portoro┼ż, Slovenia},
  editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Sara Goggi and Marko Grobelnik and Bente Maegaard and Joseph Mariani and Helene Mazo and Asuncion Moreno and Jan Odijk and Stelios Piperidis},
  publisher = {European Language Resources Association (ELRA)},
  address = {Paris, France},
  isbn = {978-2-9517408-9-1},
  language = {english}
 }
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