Characterizing the visualization design space of distant and close reading of poetic rhythm

Frontiers in Big Data

Big Data

Salvador Muñoz¹  Alejandro Benito-Santos²  Francisco J. García Peñalvo³  Roberto Therón Sánchez³ 

[1] Digital Humanities Innovation Lab (LINHD), National University of Distance Education, Madrid, Spain;Digital Humanities Innovation Lab (LINHD), National University of Distance Education, Madrid, Spain;Research Group on Interaction and e-Learning (GRIAL), University of Salamanca, Salamanca, Spain;Research Group on Interaction and e-Learning (GRIAL), University of Salamanca, Salamanca, Spain;

关键词: poetry;    text visualization;    digital humanities;    cultural collections;    automatic scansion analysis;    natural language processing;   

DOI  :  10.3389/fdata.2023.1167708

 received in 2023-02-16, accepted in 2023-05-16,  发布年份 2023

来源: Frontiers

【 摘 要 】

Metrical and rhythmical poetry analysis is founded on the systematic statistical analysis and comparison of sonic devices (e.g., rhythmic patterns) that emerge from a combination of pre-established aesthetic and structural rules and the poet's abilities and creative genius to convey a given message adhering to the said constraints. These rhythmical patterns, which have been traditionally obtained by means of a careful close reading of the poems, in a process known as “scansion,” can now be obtained and made visible by automatic means. However, the visualization literature is still scarce on approaches that allow an insightful close and distant reading of the rhythmical patterns in a poetry corpus. In this work, we report our initial efforts in characterizing of the visualization design space of distant and close reading of poetic rhythm. By employing a digital version of a corpus of 11,268 verses originally written by the Spanish poet and playwright Federico García-Lorca (1898–1936), we could craft several prototypical visualizations representative of the inherent complexity of the problem which we expect to employ in future user studies and that we share here with the rest of the community to foster further discussion around this interesting topic.

【 授权许可】

Unknown   
Copyright © 2023 Benito-Santos, Muñoz, Therón Sánchez and García Peñalvo.