Statistical study of the text by software (based on the original and translation of E. A. Poe's novella “The Fall of the House of Usher”)

Return to list of articles
Doklady Bashkirskogo Universiteta. 2025. Volume 10. No. 2. pp. 48-54.

Authors

Morozkina E. A.*
Ufa University of Science and Technology
32 Zaki Validi st., 450076 Ufa, Republic of Bashkortostan, Russia
Khabibullina E. P.
Ufa University of Science and Technology
32 Zaki Validi st., 450076 Ufa, Republic of Bashkortostan, Russia

Abstract

The article presents a statistical study of the original and translation of E. A. Poe's novella “The Fall of the House of Usher” with the use of a program written in the Python programming language.The research uses natural language processing methods such as tokenization and lemmatization, which allows us to determine the lexical diversity and informative value of texts, as well as identify key lexemes in the original and translated texts and determine the polarity of the text.

Keywords

  • statistical method
  • translation of a literary text
  • comparative analysis
  • polarity
Return to list of articles