Lossless Text Compression Technique Using Syllable Based Morphology

dc.authoridBayindir, Hakan/0000-0003-4911-9056
dc.authoridMisra, Sanjay/0000-0002-3556-9331
dc.authorscopusid8514029400
dc.authorscopusid56508352600
dc.authorscopusid36930672300
dc.authorscopusid36930018000
dc.authorscopusid56962766700
dc.authorwosidMisra, Sanjay/K-2203-2014
dc.contributor.authorAkman, Ibrahim
dc.contributor.authorBayindir, Hakan
dc.contributor.authorOzleme, Serkan
dc.contributor.authorAkin, Zehra
dc.contributor.authorMisra, Sanjay
dc.contributor.otherComputer Engineering
dc.contributor.otherComputer Engineering
dc.date.accessioned2024-10-06T10:56:39Z
dc.date.available2024-10-06T10:56:39Z
dc.date.issued2011
dc.departmentAtılım Universityen_US
dc.department-temp[Akman, Ibrahim; Bayindir, Hakan; Ozleme, Serkan; Misra, Sanjay] Atilim Univ, Dept Comp Engn, Ankara, Turkey; Meteksan Syst & Comp Technol Corp, Ankara, Turkeyen_US
dc.descriptionBayindir, Hakan/0000-0003-4911-9056; Misra, Sanjay/0000-0002-3556-9331en_US
dc.description.abstractIn 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%.en_US
dc.description.woscitationindexScience Citation Index Expanded
dc.identifier.citationcount7
dc.identifier.endpage74en_US
dc.identifier.issn1683-3198
dc.identifier.issue1en_US
dc.identifier.scopus2-s2.0-79551616918
dc.identifier.scopusqualityQ2
dc.identifier.startpage66en_US
dc.identifier.urihttps://hdl.handle.net/20.500.14411/8598
dc.identifier.volume8en_US
dc.identifier.wosWOS:000287064900011
dc.identifier.wosqualityQ4
dc.institutionauthorAkman, Kamil İbrahim
dc.institutionauthorMısra, Sanjay
dc.institutionauthorAkman, Kamil İbrahim
dc.institutionauthorMısra, Sanjay
dc.language.isoenen_US
dc.publisherZarka Private Univen_US
dc.relation.ispartofInternational Arab Journal of Information Technologyen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.scopus.citedbyCount15
dc.subjectAlgorithmen_US
dc.subjecttext compression techniqueen_US
dc.subjectsyllableen_US
dc.subjectmulti-syllabic languagesen_US
dc.titleLossless Text Compression Technique Using Syllable Based Morphologyen_US
dc.typeArticleen_US
dc.wos.citedbyCount7
dspace.entity.typePublication
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relation.isAuthorOfPublication53e88841-fdb7-484f-9e08-efa4e6d1a090
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