Enhancing Visualization in Readability Reports for Arabic Texts

Hind Saddiki; Violetta Cavalli-Sforza; Karim Bouzoubaa

doi:10.1016/j.procs.2017.10.115

Enhancing Visualization in Readability Reports for Arabic Texts

Hind Saddiki, Violetta Cavalli-Sforza, Karim Bouzoubaa

Arabic

Research output: Contribution to journal › Conference article › peer-review

Abstract

Readability assessment for Arabic is still largely underserved in both research and software development. We believe that improved usability of the few tools currently released will motivate a greater user-base, and in doing so garner more interest in this topic from the research community. With that in mind, we examine recently developed readability tools with a graphical component, formulate recommendations, and propose visual enhancements to the way readability scores are reported to improve usability and informativeness.

Original language	English (US)
Pages (from-to)	241-247
Number of pages	7
Journal	Procedia Computer Science
Volume	117
DOIs	https://doi.org/10.1016/j.procs.2017.10.115
State	Published - 2017
Event	3rd International Conference on Arabic Computational Linguistics, ACLing 2017 - Dubai, United Arab Emirates Duration: Nov 5 2017 → Nov 6 2017

Keywords

Arabic
GUI
MSA
Modern Stanadrd Arabic
graphical user interface
readability
reading difficulty
usability
visualization

ASJC Scopus subject areas

General Computer Science

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10.1016/j.procs.2017.10.115

Cite this

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title = "Enhancing Visualization in Readability Reports for Arabic Texts",

abstract = "Readability assessment for Arabic is still largely underserved in both research and software development. We believe that improved usability of the few tools currently released will motivate a greater user-base, and in doing so garner more interest in this topic from the research community. With that in mind, we examine recently developed readability tools with a graphical component, formulate recommendations, and propose visual enhancements to the way readability scores are reported to improve usability and informativeness.",

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author = "Hind Saddiki and Violetta Cavalli-Sforza and Karim Bouzoubaa",

year = "2017",

doi = "10.1016/j.procs.2017.10.115",

language = "English (US)",

volume = "117",

pages = "241--247",

journal = "Procedia Computer Science",

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AU - Saddiki, Hind

AU - Cavalli-Sforza, Violetta

AU - Bouzoubaa, Karim

PY - 2017

Y1 - 2017

N2 - Readability assessment for Arabic is still largely underserved in both research and software development. We believe that improved usability of the few tools currently released will motivate a greater user-base, and in doing so garner more interest in this topic from the research community. With that in mind, we examine recently developed readability tools with a graphical component, formulate recommendations, and propose visual enhancements to the way readability scores are reported to improve usability and informativeness.

AB - Readability assessment for Arabic is still largely underserved in both research and software development. We believe that improved usability of the few tools currently released will motivate a greater user-base, and in doing so garner more interest in this topic from the research community. With that in mind, we examine recently developed readability tools with a graphical component, formulate recommendations, and propose visual enhancements to the way readability scores are reported to improve usability and informativeness.

KW - Arabic

KW - GUI

KW - MSA

KW - Modern Stanadrd Arabic

KW - graphical user interface

KW - readability

KW - reading difficulty

KW - usability

KW - visualization

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DO - 10.1016/j.procs.2017.10.115

M3 - Conference article

AN - SCOPUS:85037746494

SN - 1877-0509

VL - 117

SP - 241

EP - 247

JO - Procedia Computer Science

JF - Procedia Computer Science

T2 - 3rd International Conference on Arabic Computational Linguistics, ACLing 2017

Y2 - 5 November 2017 through 6 November 2017

ER -

Enhancing Visualization in Readability Reports for Arabic Texts

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

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