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Stylo visualisations of Middle English documents

Authors :
Martti Mäkinen
Source :
Journal of Data Mining and Digital Humanities, Vol Special issue on... (2020)
Publication Year :
2020
Publisher :
Nicolas Turenne, 2020.

Abstract

Automated approaches to identifying authorship of a text have become commonplace in the stylometric studies. The current article applies an unsupervised stylometric approach on Middle English documents using the script Stylo in R, in an attempt to distinguish between texts from different dialectal areas. The approach is based on the distribution of character 3-grams generated from the texts of the corpus of Middle English Local Documents (MELD). The article adopts the middle ground in the study of Middle English spelling variation, between the concept of relational linguistic space and the real linguistic continuum of medieval England. Stylo can distinguish between Middle English dialects by using the less frequent character 3-grams.

Details

Language :
English
ISSN :
24165999
Volume :
Special issue on...
Database :
Directory of Open Access Journals
Journal :
Journal of Data Mining and Digital Humanities
Publication Type :
Academic Journal
Accession number :
edsdoj.97b1e6f2e13940229e9783c8af95169e
Document Type :
article
Full Text :
https://doi.org/10.46298/jdmdh.5614