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Article dans une revue Journal of Data Mining and Digital Humanities Année : 2021

Corpus and Models for Lemmatisation and POS-tagging of Classical French Theatre

Résumé

This paper describes the process of building an annotated corpus and training models for classical French literature, with a focus on theatre, and particularly comedies in verse. It was originally developed as a preliminary step to the stylometric analyses presented in Cafiero and Camps [2019]. The use of a recent lemmatiser based on neural networks and a CRF tagger allows to achieve accuracies beyond the current state-of-the art on the in-domain test, and proves to be robust during out-of-domain tests, i.e.up to 20th c.novels.
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Dates et versions

halshs-02591388, version 1 (15-05-2020)
halshs-02591388, version 2 (05-02-2021)

Licence

Paternité - Partage selon les Conditions Initiales - CC BY 4.0

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Jean-Baptiste Camps, Simon Gabay, Paul Fièvre, Thibault Clérice, Florian Cafiero. Corpus and Models for Lemmatisation and POS-tagging of Classical French Theatre. Journal of Data Mining and Digital Humanities, 2021, ⟨10.46298/jdmdh.6485⟩. ⟨halshs-02591388v2⟩
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