Shannon estimates the entropy of the set of words in printed English as 11.82 bits per word. As this figure seems inconsistent with some results deduced from several encoding procedures, the entropy was recalculated and found to be roughly 9.8 bits per word
We estimate the n-gram entropies of natural language texts in word-length representation and find th...
An essay about metric entropy within the English language and examples of the longest words using th...
We show how generalized Gibbs-Shannon entropies can provide new insights on the statistical properti...
Shannon estimates the entropy of the set of words in printed English as 11.82 bits per word. As this...
The goal of this paper is to show the dependency of the entropy of English text on the subject of th...
The choice associated with words is a fundamental property of natural languages. It lies at the hear...
The choice associated with words is a fundamental property of natural languages. It lies at the hear...
This work is a discussion of algorithms for estimating the Shannon entropy h of finite symbol sequen...
The word-frequency distribution provides the fundamental building blocks that generate discourse in ...
The word-frequency distribution provides the fundamental building blocks that generate discourse in ...
Since Shannon's original experiment in 1951, several methods have been applied to the problem o...
Entropy estimates for natural languages are useful for a number of reasons. For example,...
It is known that the entropy of English text can be reduced by arranging the text into groups of two...
Abstract: The problem addressed concerns the determination of the average number of successive attem...
The problem addressed concerns the determination of the average number of successive attempts of g...
We estimate the n-gram entropies of natural language texts in word-length representation and find th...
An essay about metric entropy within the English language and examples of the longest words using th...
We show how generalized Gibbs-Shannon entropies can provide new insights on the statistical properti...
Shannon estimates the entropy of the set of words in printed English as 11.82 bits per word. As this...
The goal of this paper is to show the dependency of the entropy of English text on the subject of th...
The choice associated with words is a fundamental property of natural languages. It lies at the hear...
The choice associated with words is a fundamental property of natural languages. It lies at the hear...
This work is a discussion of algorithms for estimating the Shannon entropy h of finite symbol sequen...
The word-frequency distribution provides the fundamental building blocks that generate discourse in ...
The word-frequency distribution provides the fundamental building blocks that generate discourse in ...
Since Shannon's original experiment in 1951, several methods have been applied to the problem o...
Entropy estimates for natural languages are useful for a number of reasons. For example,...
It is known that the entropy of English text can be reduced by arranging the text into groups of two...
Abstract: The problem addressed concerns the determination of the average number of successive attem...
The problem addressed concerns the determination of the average number of successive attempts of g...
We estimate the n-gram entropies of natural language texts in word-length representation and find th...
An essay about metric entropy within the English language and examples of the longest words using th...
We show how generalized Gibbs-Shannon entropies can provide new insights on the statistical properti...
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