Language and Chronology: Text dating by machine learning

Gregory Toner, Xiwu Han

Research output: Book/ReportBook

Abstract

This books applies innovative Machine Learning techniques to the problem of the dating of literary texts. Many ancient and medieval literatures lack reliable chronologies which could aid scholars in locating texts in their historical context. The new machine-learning method presented here uses chronological information gleaned from annalistic records to date a wide range of texts. The method is also applied to multi-layered texts to aid the identification of different chronological strata within single copies.
Original languageEnglish
Place of PublicationLeiden
PublisherBrill
Number of pages183
ISBN (Print)978-90-04-41004-6
DOIs
Publication statusPublished - 02 Sep 2019

Publication series

NameLanguage and Computers
Volume84

Keywords

  • Artificial Intelligence
  • machine learning
  • Celtic
  • Irish
  • medieval
  • Classification Methods
  • linguistic dating
  • language modelling
  • feature selection
  • ranking
  • temporal landmark selection
  • time intervals

ASJC Scopus subject areas

  • Arts and Humanities(all)

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