A Plain-Text Incremental Compression (PIC) Technique with Fast Lookup Ability

Bharathi, Kunal; Kumar, Harsh; Fairouz, Abbas; Kawam, Ahmad Al; Khatri, Sunil P.

doi:10.1109/iccd.2018.00065

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Cited by 2 publications

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Bit-Level Affixation Text Compression Algorithms

Lewan,

Khancome

2024

2024 21st International Joint Conference on Computer Science and Software Engineering (JCSSE)

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Bit-Level Affixation Text Compression Algorithms

Lewan,

Khancome

2024

2024 21st International Joint Conference on Computer Science and Software Engineering (JCSSE)

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A Syllable-Based Technique for Uyghur Text Compression

Abliz

Maimaiti

et al. 2020

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To improve utilization of text storage resources and efficiency of data transmission, we proposed two syllable-based Uyghur text compression coding schemes. First, according to the statistics of syllable coverage of the corpus text, we constructed a 12-bit and 16-bit syllable code tables and added commonly used symbols—such as punctuation marks and ASCII characters—to the code tables. To enable the coding scheme to process Uyghur texts mixed with other language symbols, we introduced a flag code in the compression process to distinguish the Unicode encodings that were not in the code table. The experiments showed that the 12-bit coding scheme had an average compression ratio of 0.3 on Uyghur text less than 4 KB in size and that the 16-bit coding scheme had an average compression ratio of 0.5 on text less than 2 KB in size. Our compression schemes outperformed GZip, BZip2, and the LZW algorithm on short text and could be effectively applied to the compression of Uyghur short text for storage and applications.

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A Plain-Text Incremental Compression (PIC) Technique with Fast Lookup Ability

Cited by 2 publications

References 16 publications

Bit-Level Affixation Text Compression Algorithms

Bit-Level Affixation Text Compression Algorithms

A Syllable-Based Technique for Uyghur Text Compression

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