Linear-time optimal parsing algorithms are rare in the dictionary-based branch of the data compression theory. A recent result is the Flexible Parsing algorithm of Matias and Sahinalp (1999) that works when the dictionary is prefix closed and the encoding of dictionary pointers has a constant cost. We present the Dictionary-Symbolwise Flexible Parsing algorithm that is optimal for prefix-closed dictionaries and any symbolwise compressor under some natural hypothesis. In the case of LZ78-like algorithms with variable costs and any, linear as usual, symbolwise compressor we show how to implement our parsing algorithm in linear time. In the case of LZ77-like dictionaries and any symbolwise compressor our algorithm can be implemented in time. We further present some experimental results that show the effectiveness of the dictionary-symbolwise approach.
Crochemore, M., Giambruno, L., Langiu, A., Mignosi, F., Restivo, A. (2012). Dictionary-symbolwise flexible parsing. JOURNAL OF DISCRETE ALGORITHMS, Journal of Discrete Algorithms 14 (2012)(14 (2012)), 74-90 [10.1016/j.jda.2011.12.021].
Dictionary-symbolwise flexible parsing
GIAMBRUNO, Laura;LANGIU, Alessio;RESTIVO, Antonio
2012-01-01
Abstract
Linear-time optimal parsing algorithms are rare in the dictionary-based branch of the data compression theory. A recent result is the Flexible Parsing algorithm of Matias and Sahinalp (1999) that works when the dictionary is prefix closed and the encoding of dictionary pointers has a constant cost. We present the Dictionary-Symbolwise Flexible Parsing algorithm that is optimal for prefix-closed dictionaries and any symbolwise compressor under some natural hypothesis. In the case of LZ78-like algorithms with variable costs and any, linear as usual, symbolwise compressor we show how to implement our parsing algorithm in linear time. In the case of LZ77-like dictionaries and any symbolwise compressor our algorithm can be implemented in time. We further present some experimental results that show the effectiveness of the dictionary-symbolwise approach.File | Dimensione | Formato | |
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