Hedged Performatives in Spoken American English: A Discourse-oriented Analysis - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Journal of English Linguistics Année : 2023

Hedged Performatives in Spoken American English: A Discourse-oriented Analysis

Gunther Kaltenböck

Résumé

This paper provides a corpus-based analysis of so-called "hedged performatives," which, although frequently referred to in the literature, have never been the subject of an in-depth functional study. Using data from the Corpus of Contemporary American English, the focus is on I must/have to say, I must/have to admit, and I must/have to confess, as the hedged performatives which are among the most frequent and score highest in terms of collocational strength. The qualitative analysis identifies two main functions, viz., downtoner and emphasizer. They are shown to derive from the interplay of three co(n)textual parameters: (i) "semantic valency" of the host clause (i.e., positive, negative, or neutral semantic content), (ii) "thematic orientation" of the host clause (i.e., toward the speaker, the addressee, or a third person/the situation), and (iii) conversational "alignment" of the speaker with the interlocutor (i.e., agreement or disagreement). It is further shown that hedged performatives play an important role in rapport management, serving (mainly positive face) politeness strategies, which are captured in terms of face-preservation, face-damage, and face-boost.

Domaines

Linguistique
Fichier principal
Vignette du fichier
depraetere-kaltenbock-2023-hedged-performatives-in-spoken-american-english-a-discourse-oriented-analysis.pdf (319.91 Ko) Télécharger le fichier
Origine : Publication financée par une institution

Dates et versions

hal-04129550 , version 1 (15-06-2023)

Identifiants

Citer

Ilse Depraetere, Gunther Kaltenböck. Hedged Performatives in Spoken American English: A Discourse-oriented Analysis. Journal of English Linguistics, In press, ⟨10.1177/00754242231173419⟩. ⟨hal-04129550⟩
13 Consultations
31 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More