Automatic Segmentation of Texts and Corpora

Abstract

Segmentation of large textual corpora is one of the major questions asked of literary studies. We present a combination of two relevant methods. First, vocabulary growth analysis highlights the main discontinuities in a work. Second, these results are supplemented with the analysis of variations in vocabulary diversity within corpora. A segmentation algorithm, associated with a test of validity, indicates the optimal succession in distinct stages. This method is applied to Racine's works and various other works in French.

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