TY  - JOUR
T1  - Entropy Reduction of Arabic Text Files
AU - , Abdel-Rahman M. Jaradat AU - , Mansour I. Irshid AU - , Talha T. Nassar 
JO  - Asian Journal of Information Technology
VL  - 5
IS  - 6
SP  - 578
EP  - 583
PY  - 2006
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2006.578.583
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2006.578.583
KW  - Arabic text
KW  -entropy
KW  -text file compression
AB  - In this study we consider several approaches for reducing the entropy as applied to Arabic text files. First we apply the source mapping technique to produce a binary file which we tested the performance on such mapping using both Huffman and Arithmetic coding. Next we implemented file splitting technique for the reduction of the nth-order entropy of text files which was proposed by the authors. The technique is based on splitting the binary file into several subfiles each contains one or more bits from each codeword of the mapped binary file. The resulting subfiles were used to achieve better compression ratios when conventional compression techniques are applied to these subfiles individually and on a bit-wise basis rather than on character-wise basis. The technique was applied on Arabic text files and it was found that considerable reduction in their entropy was achieved. Applying Huffman as well as arithmetic coding on the binary encoded files showed promising results.
ER  -