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Title Dynamic Lightweight Text Compression
Authors Nieves Brisaboa, Antonio Fariña, Gonzalo Navarro, José Paramá
Publication date 2010
Abstract We address the problem of adaptive compression of natural language
text, considering the case where the receiver is much less
powerful than the sender, as in mobile applications. Our
techniques achieve compression ratios around 32% and require very
little effort from the receiver. Furthermore, the receiver is not
only lighter, but it can also search the compressed text with less
work than the necessary to uncompress it. This is a novelty in two
senses: it breaks the usual compressor/decompressor symmetry
typical of adaptive schemes, and it contradicts the long-standing
assumption that only semistatic codes could be searched more
efficiently than the uncompressed text. Our novel compression
methods are in several aspects preferable over the existing
adaptive and semistatic compressors for natural language texts.
Pages article 10
Volume 28
Journal name ACM Transactions on Information Systems
Publisher ACM Press (New York, NY, USA)
Reference URL View reference page