The distribution of prosodic features in the Rhapsodie corpus: From general observations to discourse characterization

Anne Lacheret-Dujour (1, 2) , Guillaume Desagulier (1, 3) , Serge Fleury (4) , Frédéric Isel (1, 2)

1 MoDyCo - Modèles, Dynamiques, Corpus
2 UPN - Université Paris Nanterre
3 UP8 - Université Paris 8 Vincennes-Saint-Denis
4 LPP - LPP - Laboratoire de Phonétique et Phonologie - UMR 7018

This chapter analyzes the interface between prosodic features and situational variables in the Rhapsodie treebank. First, we provide general quantitative information. Second, we present a preliminary set of statistical analyses performed on six specific prosodic variables, that provides two types of information. While Principal Component Analysis is useful to identify major trends in the data, inferential analysis is the first step in modeling the effect of the different modalities of each situational variable on the prosodic patterns, before considering predictive modeling. Finally, by focusing on the IPA unit, we present a third statistical method based on the computation of specificity indexes.

Domaines: Linguistique

Anne Lacheret-Dujour, Guillaume Desagulier, Serge Fleury, Frédéric Isel. The distribution of prosodic features in the Rhapsodie corpus: From general observations to discourse characterization. Anne Lacheret; Sylvain Kahane; Paola Pietrandrea. Rhapsodie. A Prosodic-Syntactic Treebank for Spoken French, 89, John Benjamins Publishing Company, pp.315-338, 2019, Studies in Corpus Linguistics, ⟨10.1075/scl.89.18lac⟩. ⟨halshs-01737850⟩