USING CORPORA FOR LITERARY ANALYSIS: METHODOLOGIES, APPLICATIONS, AND CASE STUDIES

The utilization of digital corpora for literary analysis has revolutionized the study of literature, providing a quantitative approach that complements traditional qualitative analysis. By harnessing the power of large text databases, researchers can detect patterns, trends, and linguistic features across genres, authors, and historical periods. This paper explores the integration of corpora into literary studies, outlining key methodologies, applications, and case studies. We delve into how corpus-based approaches can be employed to analyze themes, authorial style, and historical language change, emphasizing their potential to uncover new insights in literary analysis.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-03-08
DOI
https://doi.org/10.5281/zenodo.14993630
Primary Topic
Marine Bivalve and Aquaculture Studies
Type
article
Field-Weighted Citation Impact
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article

USING CORPORA FOR LITERARY ANALYSIS: METHODOLOGIES, APPLICATIONS, AND CASE STUDIES

Zenodo (CERN European Organization for Nuclear Research)
Marine Bivalve and Aquaculture Studies
article

USING CORPORA FOR LITERARY ANALYSIS: METHODOLOGIES, APPLICATIONS, AND CASE STUDIES

article en

Abstract

The utilization of digital corpora for literary analysis has revolutionized the study of literature, providing a quantitative approach that complements traditional qualitative analysis. By harnessing the power of large text databases, researchers can detect patterns, trends, and linguistic features across genres, authors, and historical periods. This paper explores the integration of corpora into literary studies, outlining key methodologies, applications, and case studies. We delve into how corpus-based approaches can be employed to analyze themes, authorial style, and historical language change, emphasizing their potential to uncover new insights in literary analysis.

Zenodo (CERN European Organization for Nuclear Research)
Uzbek State University of World Languages (UZ)
Quality Education
Openalex Percentile: Top 56%
Marine Bivalve and Aquaculture Studies
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