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Literary and Linguistic Computing Advance Access originally published online on October 27, 2005
Literary and Linguistic Computing 2006 21(3):311-326; doi:10.1093/llc/fqi063
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© The Author 2005. Published by Oxford University Press on behalf of ALLC and ACH. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org

A Tool for Literary Studies: Intertextual Distance and Tree Classification

Cyril Labbé

Grenoble I University, France

Dominique Labbé

Grenoble II University, France

Correspondence: Cyril Labbé, LSR-IMAG, 681, rue de la Passerelle, BP. 72, 38402 Saint Martin d'Hères Cedex, France. E-mail: cyril.labbe{at}imag.fr
How to measure proximities and oppositions in large text corpora? Intertextual distance provides a simple and interesting solution. Its properties make it a good tool for text classification, and especially for tree-analysis which is fully presented and discussed here. In order to measure the quality of this classification, two indices are proposed. The method presented provides an accurate tool for literary studies—as is demonstrated by applying it to two areas of French literature, Racine's tragedies and an authorship attribution experiment.


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