ETAO: Symbol mapping transformation method for text compression

Fadlelmoula Mohamed Baloul, Mohsin Hassan Abdullah, Elsadig Ahmed Babikir

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

This paper is proposing a novel idea for text transformation based on mapping single letters form the standard alphabetical order into the same set of single letters reordered by their relative frequencies. This method can be used as a complementary algorithm to enhance the statistical compression techniques. We have designed and implemented an algorithm called ETAO transformation method. It has been found that the Average Code Length (ACL) could be reduced with amount of about 5%, when using Huffman or Arithmetic encoding techniques as backend.

Original languageEnglish
Title of host publicationICCRD2011 - 2011 3rd International Conference on Computer Research and Development
Pages133-138
Number of pages6
DOIs
StatePublished - 2011
Externally publishedYes
Event2011 3rd International Conference on Computer Research and Development, ICCRD 2011 - Shanghai, China
Duration: 11 Mar 201115 Mar 2011

Publication series

NameICCRD2011 - 2011 3rd International Conference on Computer Research and Development
Volume3

Conference

Conference2011 3rd International Conference on Computer Research and Development, ICCRD 2011
Country/TerritoryChina
CityShanghai
Period11/03/1115/03/11

Keywords

  • Average Code Length
  • ETAO
  • Text Compression
  • Text Transformation
  • Word Length and Position-Based Relative Frequencies

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