Stylochronometry: Timeline Prediction in Stylometric Analysis
Citation:
Stylochronometry: Timeline Prediction in Stylometric Analysis, Max Bramer and Miltos Petridis, Research and Development in Intelligent Systems XXXII, London, Springer, 2015, 91-106, Carmen Klaussner and Carl VogelDownload Item:
Klaussner-Vogel-SGAI2015.pdf (PDF) 168.7Kb
Abstract:
We examine stylochronometry, the question of measuring change in linguistic
style over time within an authorial canon and in relation to change in language
in general use over a contemporaneous period. We take the works of two
prolific authors from the 19th/20th century, Henry James and Mark Twain, and identify
variables that change for them over time. We present a method of analysis applying
regression on linguistic variables in predicting a temporal variable. In order
to identify individual authors’ effects on the model, we compare the model based
on the novelists’ works to a model based on a 19th/20th century American English
reference set. We evaluate using R2 and Root mean square error (RMSE), that indicates
the average error on predicting the year. On the two-author data, we achieve
an RMSE of 7.2 years on unseen data (baseline: 13.2); for the larger reference
set, our model obtains an RMSE of 4 on unseen data (baseline: 17).
Sponsor
Grant Number
Science Foundation Ireland (SFI)
12/CE/I2267
Author's Homepage:
http://people.tcd.ie/vogelDescription:
PUBLISHEDLondon
Author: VOGEL, CARL
Other Titles:
Research and Development in Intelligent Systems XXXIIPublisher:
SpringerType of material:
Book ChapterCollections:
Availability:
Full text availableKeywords:
stylochronometrySubject (TCD):
Creative Technologies , Digital Humanities , Intelligent Content & Communications , Computational linguistics , Corpus Linguistics , LINGUISTICS , Natural Language Processing , computational stylistics , narratology and linguistics , stylometryDOI:
http://doi.org/10.1007/978-3-319-25032-8_6ISSN:
9783319250304Licences: