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Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/17461

Title: Automatic Readability Measurements of the Arabic Text: An Exploratory Study
Authors: S. Al-Khalifa, Hend.
Al-Ajlan, Amany.
Keywords: Arabic language, readability, machine learning, statistical language model, perplexity
Issue Date: 2010
Publisher: King Fahd University of Petroleum & Minerals, Dhahran, Saudi Arabia.
Citation: The Arabian Journal for Science and Engineering, Volume 35, Number 2C
Abstract: There has been a lot of research in the field of text readability since the 1920s. This research has led to many popular readability formulas and effective readability tools with useful applications in English, Spanish, and French. To the best of our knowledge, there has been little research on Arabic readability, and almost no research on automatic Arabic readability measurements. This paper is designed to review the literature on different readability research (whether traditional or automatic) and to present the development of a prototype tool to automate the task of measuring Arabic text readability using machine learning techniques. Preliminary evaluation results along with future directions of such research are presented.
URI: http://hdl.handle.net/123456789/17461
ISSN: 1319-8025
Appears in Collections:College of Computer and Information Sciences

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