CLEAR-Simple Corpus for Medical French

Natalia Grabar (1) , Rémi Cardon

1 STL - Savoirs, Textes, Langage (STL) - UMR 8163

Availability of corpora with technical and simplified contents is crucial for the development and test of methods for text simplification. We describe this kind of corpus for the French medical language. The corpus contains texts from three sources: encyclopedia, drug leaflets and scientific summaries. Each source proposes comparable information in specialized and plain languages. A subset of this corpus has been processed manually in order to find and align parallel sentences. This subset currently contains 663 pairs with parallel sentences. Alignment has been done by two annota-tors and shows 0.76 inter-annotator agreement .

Domaines: Sciences de l'information et de la communication; Traitement du texte et du document

Natalia Grabar, Rémi Cardon. CLEAR-Simple Corpus for Medical French. ATA, Nov 2018, Tilburg, Netherlands. ⟨halshs-01968355⟩