A System for Decoding and Coloring Arabic Text for Language Learners

Language learners face difficulties while reading and comprehending Arabic text, this is because of the interwoven nature of Arabic script. In this paper, we present (Arcode) an automatic web-based system, which simplifies instruction on Arabic word decoding and comprehension through utilizing color...

Full description

Saved in:
Bibliographic Details
Published in:IEEE access Vol. 7; pp. 104810 - 104822
Main Author: Al-Khalifa, Hend S.
Format: Journal Article
Language:English
Published: Piscataway IEEE 2019
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Arabic as a second language
Arabic language
Color
Color coding
Decoding
Education
Encoding
Image color analysis
language learner
Morphology
natural language processing
Sentences
Speech recognition
Visualization
web application
Web services
Words (language)
world wide web
ISSN:2169-3536, 2169-3536
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Language learners face difficulties while reading and comprehending Arabic text, this is because of the interwoven nature of Arabic script. In this paper, we present (Arcode) an automatic web-based system, which simplifies instruction on Arabic word decoding and comprehension through utilizing color-coding on Arabic text. The system is designed to help Arabic language learners to analyze and identify attached affixes (prefixes & suffixes), particle and silent letters of the selected text, and sentences based on the sentence morphological structure. This is done by encoding and presenting color conversion per word and character, using a certain color code. The proposed system is a combination of color-coding technique, transliteration, and text-to-speech technologies that creates an educational tool for learning the Arabic language. It also provides web services for developers who want to integrate the system into their own applications.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2019.2925011