A Data Analysis Tool for the Corpus of Russian Poetry

Olga Lyashevskaya (), Kristina Litvintseva (), Ekaterina Vlasova () and Eugenia Sechina ()
Additional contact information
Olga Lyashevskaya: National Research University Higher School of Economics
Kristina Litvintseva: National Research University Higher School of Economics
Ekaterina Vlasova: National Research University Higher School of Economics
Eugenia Sechina: National Research University Higher School of Economics

HSE Working papers from National Research University Higher School of Economics

Abstract: A data analysis tool of the Corpus of Russian Poetry (a part of the Russian National Corpus) is designed for quantitative research in various areas of versology and linguistics aspects of the poetic texts. The core part, a frequency database of the corpus, includes annotation at the level of texts, verses, words as well as patterns of words, letters, and stress. The tool allows a user to study certain properties (e. g. rhyming patterns, lexical co-occurrence) taken alone and in their interaction, both in the whole corpus and in subcorpora. Besides that, it facilitates the contrastive studies of two chosen subcorpora. The paper reports a few case studies demonstrating applicable descriptive and exploratory methods and potential for further research in the field of the digital literary studies

Keywords: poetic corpora; quantitative linguistics; lexical markers; lexical diversity; rhyme; linguistic poetics; versology; Russian language; Russian National Corpus (search for similar items in EconPapers)
JEL-codes: Z (search for similar items in EconPapers)
Pages: 34 pages
Date: 2018
New Economics Papers: this item is included in nep-cis and nep-cul
References: View complete reference list from CitEc
Citations:

Published in WP BRP Series: Linguistics / LNG, December 2018, pages 1-34

Downloads: (external link)
https://wp.hse.ru/data/2018/12/29/1143017363/77LNG2018.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:hig:wpaper:77/lng/2018

Access Statistics for this paper

More papers in HSE Working papers from National Research University Higher School of Economics
Bibliographic data for series maintained by Shamil Abdulaev () and Shamil Abdulaev ().