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The Amount of Data Required to Recognize a Writer’s Style Is Consistent Across Different Languages of the World

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Publicado en:Entropy vol. 27, no. 10 (2025), p. 1039-1051
Autor principal: Ryabko Boris
Otros Autores: Savina Nadezhda, Getachew, Lulu Yeshewas, Han, Yunfei
Publicado:
MDPI AG
Materias:
Linguistics
Writers
Sino-Tibetan languages
Hypothesis testing
Data compression
Russian language
Information theory
Indo-European languages
Languages
West Germanic languages
Computational linguistics
Methods
Fiction
Semitic languages
Computer science
Compression
Amharic
Information sources
Chinese languages
Statistical analysis
Families & family life
Literary criticism
English language
Germanic languages
Data
Asian cultural groups
Slavic cultural groups
Acceso en línea:Citation/Abstract
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Resumen:In this paper, we apply an information-theoretic method proposed by Ryabko and Savina (therefore called the RS-method), based on the use of data compression, to recognize the individual author’s style of a writer across four languages from different language groups and families. In this paper, the presented method was used to study fiction texts in Russian (East Slavic group of languages of the Indo-European language family), Amharic (South Ethiosemitic group of the Semitic language family), Chinese (Sinitic group of the Sino-Tibetan language family) and English (West Germanic language group of the Indo-European language family). It was found that the amount of data necessary for recognizing an author’s style is almost the same for all four languages, i.e., the amount of data is invariant across different language groups. The results obtained are of interest to computer science, literary studies, linguistics and, in particular, computational linguistics.
ISSN:1099-4300
DOI:10.3390/e27101039
Fuente:Engineering Database