MADAD: A Readability Annotation Tool for Arabic Text

Nora Al-Twairesh, Abeer Al-Dayel, Hend Al-Khalifa, Maha Al-Yahya, Sinaa Alageel, Nora Abanmy, 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).
Anthology ID:
L16-1646
Volume:
Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)
Month:
May
Year:
2016
Address:
Portorož, Slovenia
Venue:
LREC
SIG:
Publisher:
European Language Resources Association (ELRA)
Note:
Pages:
4093–4097
Language:
URL:
https://aclanthology.org/L16-1646
DOI:
Bibkey:
Cite (ACL):
Nora Al-Twairesh, Abeer Al-Dayel, Hend Al-Khalifa, Maha Al-Yahya, Sinaa Alageel, Nora Abanmy, and Nouf Al-Shenaifi. 2016. MADAD: A Readability Annotation Tool for Arabic Text. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16), pages 4093–4097, Portorož, Slovenia. European Language Resources Association (ELRA).
Cite (Informal):
MADAD: A Readability Annotation Tool for Arabic Text (Al-Twairesh et al., LREC 2016)
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PDF:
https://aclanthology.org/L16-1646.pdf