Linear time optimal parsing algorithms are very rare in the dictionary based branch of the data compression theory. The most recent is the Flexible Parsing algorithm of Mathias and Shainalp 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-alike algorithms with variable costs and any, linear as usual, symbolwise compressor can be implemented in linear time. In the case of LZ77-alike dictionaries and any symbolwise compressor it can be implemented in O(n logn) time. We further present some experimental results that show the effectiveness of the dictionary-symbolwise approach. © 2011 Springer-Verlag.

Dictionary-symbolwise flexible parsing

Langiu Alessio;
2011

Abstract

Linear time optimal parsing algorithms are very rare in the dictionary based branch of the data compression theory. The most recent is the Flexible Parsing algorithm of Mathias and Shainalp 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-alike algorithms with variable costs and any, linear as usual, symbolwise compressor can be implemented in linear time. In the case of LZ77-alike dictionaries and any symbolwise compressor it can be implemented in O(n logn) time. We further present some experimental results that show the effectiveness of the dictionary-symbolwise approach. © 2011 Springer-Verlag.
2011
9783642192210
Dictionary-based compression; Directed acyclic graph; Optimal parsing; Stringology; Symbolwise text compression; Text compression
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/270460
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