CoFee-Toward a multidimensional analysis of conversational feedback, the case of French language

Fiche du document

Date

2012

Discipline
Type de document
Périmètre
Langue
Identifiants
Collection

Archives ouvertes

Licence

info:eu-repo/semantics/OpenAccess




Citer ce document

Laurent Prevot et al., « CoFee-Toward a multidimensional analysis of conversational feedback, the case of French language », HAL-SHS : linguistique, ID : 10670/1.56d0qc


Métriques


Partage / Export

Résumé En

Conversational feedback is mostly performed through shortutterances such as yeah, mhmm, okay not produced by themain speaker but by one of the other participants of a con-versation. Such utterances are among the most frequentin conversational data. They also have been described inpsycho-linguistic models of communication as a crucialcommunicative tool for achieving coordination or align-ment in dialogue. The newly funded project describedin this paper addresses this issue from a linguistic view-point by combining fine-grained corpus linguistic anal-yses of semi-controlled data with formal and statisticalmodeling. The impoverished aspect of the linguistic ma-terial present in these utterances allows for a truly multi-dimensional analysis that can explain how different lin-guistic domains combine to convey meaning and achievecommunicative goals.

document thumbnail

Par les mêmes auteurs

Sur les mêmes sujets

Sur les mêmes disciplines

Exporter en