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Stylo visualisations of Middle English documents
- 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.
- Subjects :
- middle english
historical dialectology
diatopical variation
unattended analysis
stylometry
authorship attribution
non-standard spelling
[shs.langue]humanities and social sciences/linguistics
[shs]humanities and social sciences
History of scholarship and learning. The humanities
AZ20-999
Bibliography. Library science. Information resources
Subjects
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