- Revue : Journal of Data Mining and Digital Humanities
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.
Partager sur les réseaux sociaux
Publications de chercheur
Publication de chercheur
CATMuS-Medieval: Consistent Approaches to Transcribing ManuScripts
Communication dans un congrès
- Date de parution : 2024
Publication de chercheur
Layout Analysis Dataset with SegmOnto
Communication dans un congrès
- Date de parution : 2024
Publication de chercheur
Detecting Sexual Content at the Sentence Level in First Millennium Latin Texts
Communication dans un congrès Nouveau
- Date de parution : 2024
