Title of article :
Lossless Text Compression Technique Using Syllable Based Morphology
Author/Authors :
Akman, Ibrahim Atilim University - Computer Engineering Department, Turkey , Bayindir, Hakan Atilim University - Computer Engineering Department, Turkey , Ozleme, Serkan Parana Vision Image Processing Technologies and Solutions Consultancy Corporation, Turkey , Akin, Zehra Meteksan Systems and Computer Technologies Corporation, Turkey , Misra, Sanjay Atilim University - Computer Engineering Department, Turkey
Abstract :
In this paper, we present a new lossless text compression technique which utilizes syllable-based morphology of multi-syllabic languages. The proposed algorithm is designed to partition words into its syllables and then to produce their shorter bit representations for compression. The method has six main components namely source file, filtering unit, syllable unit, compression unit, dictionary file and target file. The number of bits in coding syllables depends on the number of entries in the dictionary file. The proposed algorithm is implemented and tested using 20 different texts of different lengths collected from different fields. The results indicated a compression of up to 43%
Keywords :
Algorithm , text compression technique , syllable , multi , syllabic languages
Journal title :
The International Arab Journal of Information Technology (IAJIT)
Journal title :
The International Arab Journal of Information Technology (IAJIT)
