一个评价无损压缩算法的语料库

R. Arnold, T. Bell
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引用次数: 217

摘要

许多作者使用卡尔加里文本语料库为无损压缩算法提供经验结果。这个语料库于1987年收集,但直到1990年才出版。压缩算法的进步在压缩方面取得了相对较小的改进,使用卡尔加里语料库进行了测量。有一种担忧是,算法正在针对这个语料库进行微调,以这种方式测量的小改进可能不适用于其他文件。此外,语料库已经有将近十年的历史了,在这段时间里,压缩文件的种类发生了变化,特别是随着互联网的发展,以及个人计算机高容量二级存储的迅速增长。我们探讨了上面提出的问题,并开发了一种原则性的技术来收集压缩方法的测试数据库。使用这种技术开发了一个名为坎特伯雷语料库的语料库,我们报告了使用新语料库的压缩方法集合的性能。
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A corpus for the evaluation of lossless compression algorithms
A number of authors have used the Calgary corpus of texts to provide empirical results for lossless compression algorithms. This corpus was collected in 1987, although it was not published until 1990. The advances with compression algorithms have been achieving relatively small improvements in compression, measured using the Calgary corpus. There is a concern that algorithms are being fine-tuned to this corpus, and that small improvements measured in this way may not apply to other files. Furthermore, the corpus is almost ten years old, and over this period there have been changes in the kinds of files that are compressed, particularly with the development of the Internet, and the rapid growth of high-capacity secondary storage for personal computers. We explore the issues raised above, and develop a principled technique for collecting a corpus of test data for compression methods. A corpus, called the Canterbury corpus, is developed using this technique, and we report the performance of a collection of compression methods using the new corpus.
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