Content area
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.
Details
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
; Savina Nadezhda 2
; Getachew, Lulu Yeshewas 2
; Han, Yunfei 2 1 Federal Research Center for Information and Computational Technologies, 6300090 Novosibirsk, Russia, Department of Information Technologies, Novosibirsk State University, 6300090 Novosibirsk, [email protected] (Y.G.L.); [email protected] (Y.H.)
2 Department of Information Technologies, Novosibirsk State University, 6300090 Novosibirsk, [email protected] (Y.G.L.); [email protected] (Y.H.)