A Study on Hangul Text Compression Using the Structural Feature of Hangul


The Transactions of the Korea Information Processing Society (1994 ~ 2000), Vol. 3, No. 5, pp. 1294-1306, Sep. 1996
10.3745/KIPSTE.1996.3.5.1294,   PDF Download:

Abstract

To achieve high compression ratio for Hangul texts, in this paper two text compression algorithm which use the structural feature of Hangul, the Frequency of postpositional words, are proposed. The performances of these proposed algorithm are also compared with previous text compression algorithm. The proposed compression algorithm named HLZ77 and HLZW come out from the modification of previous algorithm LZ77 and LZW. respectively. The major distinction of the proposed ones is that the proposed algorithm use the fixed dictionary of selected postpositional words that appear most frequently in Hangul texts. The performances of HLZ77 and HLZW also are compared with those of LZ77 and LZW, respectively, with respect to the compression ratio. According to the result of performance study, the proposed algorithms are better than the previous algorithm for descriptive Hangul text since the structural feature of Hangul is helpful to achievement of high compression ratio.


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Cite this article
[IEEE Style]
L. G. Seog and K. Y. Sung, "A Study on Hangul Text Compression Using the Structural Feature of Hangul," The Transactions of the Korea Information Processing Society (1994 ~ 2000), vol. 3, no. 5, pp. 1294-1306, 1996. DOI: 10.3745/KIPSTE.1996.3.5.1294.

[ACM Style]
Lee Gi Seog and Kim Yoo Sung. 1996. A Study on Hangul Text Compression Using the Structural Feature of Hangul. The Transactions of the Korea Information Processing Society (1994 ~ 2000), 3, 5, (1996), 1294-1306. DOI: 10.3745/KIPSTE.1996.3.5.1294.