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
International audienceThis study investigates hyphenated German compounds that contain English const...
This paper introduces an objective metric for assessing the effectiveness of a parsing scheme. Infor...
One of Shannon's intuitive schemes for estimating the Entropy of printed English is generalized here...
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...
Entropy estimates for natural languages are useful for a number of reasons. For example,...
This work is a discussion of algorithms for estimating the Shannon entropy h of finite symbol sequen...
The purpose of this study is to estimate and compare the entropy and redundancy of written English a...
We estimate the n-gram entropies of natural language texts in word-length representation and find th...
Based on Shannon’s communication theory, in the present paper, we provide the theoretical background...
Since Shannon's original experiment in 1951, several methods have been applied to the problem o...
Beyond the local constraints imposed by grammar, words concatenated in long sequences carrying a com...
<p>For each language, blue bars represent the average entropy of the random ...
International audienceThis study investigates hyphenated German compounds that contain English const...
This paper introduces an objective metric for assessing the effectiveness of a parsing scheme. Infor...
One of Shannon's intuitive schemes for estimating the Entropy of printed English is generalized here...
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...
Entropy estimates for natural languages are useful for a number of reasons. For example,...
This work is a discussion of algorithms for estimating the Shannon entropy h of finite symbol sequen...
The purpose of this study is to estimate and compare the entropy and redundancy of written English a...
We estimate the n-gram entropies of natural language texts in word-length representation and find th...
Based on Shannon’s communication theory, in the present paper, we provide the theoretical background...
Since Shannon's original experiment in 1951, several methods have been applied to the problem o...
Beyond the local constraints imposed by grammar, words concatenated in long sequences carrying a com...
<p>For each language, blue bars represent the average entropy of the random ...
International audienceThis study investigates hyphenated German compounds that contain English const...
This paper introduces an objective metric for assessing the effectiveness of a parsing scheme. Infor...
One of Shannon's intuitive schemes for estimating the Entropy of printed English is generalized here...