Kalema: Digitizing Arabic Content for Accessibility Purposes Using Crowdsourcing View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2015

AUTHORS

Gasser Akila , Mohamed El-Menisy , Omar Khaled , Nada Sharaf , Nada Tarhony , Slim Abdennadher

ABSTRACT

In this paper, we present “Kalema”, a system for digitizing Arabic scanned documents for the visually impaired such that it can be converted to audio format or Braille. This is done through a GWAP which offers a simple, challenging game that helps attract many volunteers for this cause. We show how such a tedious task can be achieved accurately and easily through the use of crowdsourcing. More... »

PAGES

655-662

Book

TITLE

Computational Linguistics and Intelligent Text Processing

ISBN

978-3-319-18116-5
978-3-319-18117-2

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-319-18117-2_49

DOI

http://dx.doi.org/10.1007/978-3-319-18117-2_49

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1038399281


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