TOWARDS THE QUANTIFICATION OF THE SEMANTIC INFORMATION ENCODED IN WRITTEN LANGUAGE

DOI10.1142/S0219525910002530zbMath1206.68315OpenAlexW2060022568WikidataQ60479647 ScholiaQ60479647MaRDI QIDQ3565435

Marcelo A. Montemurro, Damián H. Zanette

Publication date: 3 June 2010

Published in: Advances in Complex Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s0219525910002530

zbMATH Keywords

information theorynatural languagecomplex communication

Mathematics Subject Classification ID

Measures of information, entropy (94A17) Natural language processing (68T50)

Related Items (4)

Identifying trends in word frequency dynamics ⋮ Scaling laws and fluctuations in the statistics of word frequencies ⋮ Two halves of a meaningful text are statistically different ⋮ Mathematical Models of Textual Data: A Short Review

Cites Work

• Unnamed Item
• A Mathematical Theory of Communication
• Prediction and Entropy of Printed English
• ENTROPIC ANALYSIS OF THE ROLE OF WORDS IN LITERARY TEXTS
• Entropy estimation of symbol sequences
• Least effort and the origins of scaling in human language
• Elements of Information Theory

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