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Universal text preprocessing for data compression

delete2005-05-01
delete32
PRE
AI
J
Jürgen Abel
W
William J. Teahan
DOI:10.1109/TC.2005.85delete
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Abstract

Abstract

En 中文
Several preprocessing algorithms for text files are presented which complement each other and which are performed prior to the compression scheme. The algorithms need no external dictionary and are language independent. The compression gain is compared along with the costs of speed for the BWT, PPM, and LZ compression schemes. The average overall compression gain is in the range of 3 to 5 percent for the text files of the Calgary Corpus and between 2 to 9 percent for the text files of the large Canterbury Corpus.
Keywords:
algorithms
data compression
BWT
LZ
PPM
preprocessing
text compression

Journal

IEEE Transactions on Computers cover
IEEE Transactions on Computers
IF:
3.8
Papers:
5.3K
Citations:
9.8K

Organization

No organization information available