In his work on the information content of English text in 1951, Shannon described a method of recoding the input text, a technique which has apparently lain dormant for the ensuing 45 years. Whereas traditional compressors exploit symbol frequencies and symbol contexts, Shannon's method adds the concept of "symbol ranking", as in `the next symbol is the one third most likely in the present context'. While some other recent compressors can be explained in terms of symbol ranking, few make explicit reference to the concept. This report describes an implementation of Shannon's method and shows that it forms the basis of a good text compressor. Keywords text compression, Shannon, symbol ranking Category E.4 1. Introdu...
The present chapter describes a few standard algorithms used for processing texts. They apply, for.....
We report on a new experimental analysis of high-order entropy-compressed suffix arrays, which retai...
A syllablebased compression is a new method of a text compression, offering interesting tradeoff bet...
In his work on the information content of English text in 1951, Shannon described a method of recodi...
The goal of this paper is to show the dependency of the entropy of English text on the subject of th...
Shannon estimates the entropy of the set of words in printed English as 11.82 bits per word. As this...
Information theorists maintain that typical English-language text is approximately 75 per cent predi...
Dictionary-based compression algorithms include a parsing strategy to transform the input text into ...
This study aims to implement the Shannon-fano Adaptive data compression algorithm on characters as i...
Abstract. It is well known that text compression can be achieved by predict-ing the next symbol in t...
Semistatic word-based byte-oriented compressors are known to be attractive alternatives to compress ...
Text Image Compression Based on the Formation and Classification of Vertical Elements of a Row in th...
Symbol ranking compression algorithms are known to achieve a very good compression ratio. Off-line s...
The task of finding a criterion allowing to distinguish a text from an arbitrary set of words is rat...
Text compression methods where the original texts are directly mapped into binary domain are attract...
The present chapter describes a few standard algorithms used for processing texts. They apply, for.....
We report on a new experimental analysis of high-order entropy-compressed suffix arrays, which retai...
A syllablebased compression is a new method of a text compression, offering interesting tradeoff bet...
In his work on the information content of English text in 1951, Shannon described a method of recodi...
The goal of this paper is to show the dependency of the entropy of English text on the subject of th...
Shannon estimates the entropy of the set of words in printed English as 11.82 bits per word. As this...
Information theorists maintain that typical English-language text is approximately 75 per cent predi...
Dictionary-based compression algorithms include a parsing strategy to transform the input text into ...
This study aims to implement the Shannon-fano Adaptive data compression algorithm on characters as i...
Abstract. It is well known that text compression can be achieved by predict-ing the next symbol in t...
Semistatic word-based byte-oriented compressors are known to be attractive alternatives to compress ...
Text Image Compression Based on the Formation and Classification of Vertical Elements of a Row in th...
Symbol ranking compression algorithms are known to achieve a very good compression ratio. Off-line s...
The task of finding a criterion allowing to distinguish a text from an arbitrary set of words is rat...
Text compression methods where the original texts are directly mapped into binary domain are attract...
The present chapter describes a few standard algorithms used for processing texts. They apply, for.....
We report on a new experimental analysis of high-order entropy-compressed suffix arrays, which retai...
A syllablebased compression is a new method of a text compression, offering interesting tradeoff bet...