Abstract : 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.
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, Episciences.org, 2021, ⟨10.46298/jdmdh.6485⟩. ⟨halshs-02591388v2⟩