Language and chronology : text dating by machine learning

The Resource Language and chronology : text dating by machine learning

Label

Language and chronology : text dating by machine learning

Title remainder

text dating by machine learning

Statement of responsibility

Gregory Toner, Xiwu Han

Language

eng

Summary

"In Language and Chronology, Toner and Han apply 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 While the algorithm is here applied to medieval Irish material of the period c.700-c.1700, it can be extended to written texts in any language or alphabet. The authors' approach presents a step change in Digital Humanities, moving us beyond simple querying of electronic texts towards the production of a sophisticated tool for literary and historical studies"--

Assigning source

Provided by publisher

Cataloging source

DLC

Dewey number

891.6/2002

Index

index present

LC call number

PB1322

LC item number

.L36 2019

Literary form

non fiction

Nature of contents

dictionaries
bibliography

Series statement

Language and computers

Series volume

volume 84

Context

Context of Language and chronology : text dating by machine learning

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Context

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