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Dynamic Markov Compression Using a Crossbar-Like Tree Initial Structure for Chinese Texts

机译:使用横杆树初始结构的动态马尔可夫压缩用于中文文本

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摘要

This paper proposes the use of a crossbar-like tree structure to use with Dynamic Markov Compression (DMC) for the compression of Chinese text files. DMC had previously been found to be more effective than common compression techniques like compress and pack and gives a compression gain of between 13.1% and 32.0%. This initial structure is able to improve on DMC’s compression results, and outperforms the various initial structures commonly adopted, such as the single-state, linear, tree or braid structures by a gain ranging from 1.5% to 9.6%.
机译:本文提出使用横杆式树结构来与动态马尔可夫压缩(DMC)一起使用,用于压缩中文文本文件。先前已发现DMC比压缩和包装等共同压缩技术更有效,并给出13.1%和32.0%的压缩增益。该初始结构能够改善DMC的压缩结果,并且优异地优于通常采用的各种初始结构,例如单态,线性,树木或编织结构,增益范围为1.5%至9.6%。

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