Maria Levchenko

Maria Levchenko
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  • Master's Student at University of Bologna

About

5
Publications
72
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Citations
Introduction
Skills and Expertise
Natural Language Processing
Social Network Analysis
Text Analysis
Text Mining
Information Extraction
Text Classification
Web Mining
Text Analytics
Parsing
Data preparation
Current institution
University of Bologna
University of Bologna
  • Department of Classical Philology and Italian Studies FICLIT
  • Bologna, Italy
Current position
  • Master's Student
Additional affiliations
September 2001 - August 2014
Herzen University
Herzen University
  • Saint Petersburg, Russia
Position
  • Professor (Assistant)

Publications

Publications (5)
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Figure 1: Alignment Types in The Betrothed
Figure 2: The visualization of the alignment of the long sentence.
Figure 4: Reducing the Lengths of Aligned Pairs for the Spanish 1858
Strategies of Text/Translation Representation in Multilingual Digital...
Automatic Translation Alignment Pipeline for Multilingual Digital Editions of Literary Works
Preprint
Full-text available
  • Oct 2024
This paper investigates the application of translation alignment algorithms in the creation of a Multilingual Digital Edition (MDE) of Alessandro Manzoni's Italian novel "I promessi sposi" ("The Betrothed"), with translations in eight languages (English, Spanish, French, German, Dutch, Polish, Russian and Chinese) from the 19th and 20th centuries....
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СтихиРу vs поэтический канон: к вопросу о количественном измерении графомании
Presentation
Full-text available
  • Oct 2024
A comparative analysis of naive poetry from Stihi.ru and canonical Russian poetry using vector semantic models reveals distinct stylistic and conceptual patterns that differentiate naive poetic expressions from established literary norms.
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Figure 1: Event Frequency Heat Map
Figure 2: The literary network for the year 2019
Key Parameters of Detected Communities
Key Parameters of Detected Communities (continued)
Mapping Literary Space: A Social Network from the Timeline of Cultural Events
Preprint
Full-text available
  • Jun 2024
This paper applies social network analysis (SNA) to explore the literary networks of St. Petersburg from 1999 to 2019. By analyzing data from the "SPbLitGuide" newsletter, which documents literary events and their participants, we map the connections and collaborations within the literary community. Our approach uses text processing, knowledge extr...
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