Sammanfattning
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.
| Originalspråk | Engelska |
|---|---|
| Referentgranskad vetenskaplig tidskrift | Journal of Data Mining & Digital Humanities |
| Volym | Special issue on Visualisations in Historical Linguistics |
| Sidor (från-till) | 1-10 |
| Antal sidor | 10 |
| ISSN | 2416-5999 |
| Status | Publicerad - 23.12.2020 |
| MoE-publikationstyp | A1 Originalartikel i en vetenskaplig tidskrift |
Nyckelord
- 612,1 Språkvetenskaper
Fingeravtryck
Fördjupa i forskningsämnen för ”Stylo visualisations of Middle English documents”. Tillsammans bildar de ett unikt fingeravtryck.Aktiviteter
-
Journal of Data Mining & Digital Humanities (Tidskrift)
Mäkinen, M. (Medlem i redaktionsråd)
10.2018 → 31.12.2020Aktivitet: Referentgranskning av publikationer och redaktionellt arbete › Specialnummer av tidskrift
-
20th International Conference on English Historical Linguistics
Mäkinen, M. (Talare: Presentation)
27.08.2018 → 31.08.2018Aktivitet: Deltagande i eller organisering av evenemang › Arrangemang av / deltagande i konferens, workshop, kurs, seminarium
Fil
Citera det här
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver