Lossless text compression technique using syllable based morphology

Joint Authors

Akman, Ibrahim
Bayindir, Hakan
Ozleme, Serkan
Akin, Zehra
Misra, Sanjay

Source

The International Arab Journal of Information Technology

Issue

Vol. 8, Issue 1 (31 Jan. 2011), pp.66-74, 9 p.

Publisher

Zarqa University

Publication Date

2011-01-31

Country of Publication

Jordan

No. of Pages

9

Main Subjects

Information Technology and Computer Science

Topics

Abstract EN

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%.

American Psychological Association (APA)

Akman, Ibrahim& Bayindir, Hakan& Ozleme, Serkan& Akin, Zehra& Misra, Sanjay. 2011. Lossless text compression technique using syllable based morphology. The International Arab Journal of Information Technology،Vol. 8, no. 1, pp.66-74.
https://search.emarefa.net/detail/BIM-244524

Modern Language Association (MLA)

Akman, Ibrahim…[et al.]. Lossless text compression technique using syllable based morphology. The International Arab Journal of Information Technology Vol. 8, no. 1 (Jan. 2011), pp.66-74.
https://search.emarefa.net/detail/BIM-244524

American Medical Association (AMA)

Akman, Ibrahim& Bayindir, Hakan& Ozleme, Serkan& Akin, Zehra& Misra, Sanjay. Lossless text compression technique using syllable based morphology. The International Arab Journal of Information Technology. 2011. Vol. 8, no. 1, pp.66-74.
https://search.emarefa.net/detail/BIM-244524

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references : p. 73-74

Record ID

BIM-244524