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

• Published in: Journal of data mining and digital humanities Vol. 2021; no. Digital humanities in...
• Main Authors: Camps, Jean-Baptiste, Gabay, Simon, Fièvre, Paul, Clérice, Thibault, Cafiero, Florian
• Format: Journal Article
• Language: English
• Published: INRIA 14-02-2021; Nicolas Turenne
• Subjects: Computation and Language; Computer Science; computer science - computation and language; Document and Text Processing; Humanities and Social Sciences; Linguistics; Literature; Classical theatre; 17th c. French; 17th century French; POS Tagging; Lemmatisation
• ISSN: 2416-5999; 2416-5999
• DOI: 10.46298/jdmdh.6485

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.