What's in a name? - vocatives in casual conversations and radio phone-in calls
Citation
McCarthy, M. and O'Keeffe, A. (2003) ‘What's in a name? - vocatives in casual conversations and radio phone in calls’, in Leistyna., P. and Meyer, C., (eds)., Corpus Analysis: Language Structure and Language Use, Amsterdam: Rodopi, 153-185.
McCarthy, M. and O'Keeffe, A. (2003) ‘What's in a name? - vocatives in casual conversations and radio phone in calls’, in Leistyna., P. and Meyer, C., (eds)., Corpus Analysis: Language Structure and Language Use, Amsterdam: Rodopi, 153-185.
Abstract
This paper looks at the use of vocatives across two corpora: the 5-million word Cambridge
and Nottingham Corpus of Discourse in English (CANCODE) and a 55,000-word
corpus of radio phone-in calls. 100 vocatives are sampled from the CANCODE corpus, using
only informal, casual conversations among intimates, friends and close associates. All
vocatives (n=232) were extracted from the radio data. The vocatives in both datasets were
classified according to the contexts in which they occurred. The contexts were categorised
under headings connected with topic and turn management, face concerns, general relational
concerns, humour/badinage and summons. The distribution over the two datasets
was compared, as well as the position of the vocative in the speaker turn. Overall, the
CANCODE data revealed a preference for vocatives in relational, topic management, badinage
and face-concerns, while the radio data revealed a tendency for vocatives to be used
more in the management of phone calls, turn-taking, topic management and face concerns.
The radio data showed a greater frequency for initial position, then final, while the casual
conversation data was the reverse. Medial position was seen to be problematic in both datasets
and an alternative analysis is proposed. In neither dataset did vocatives seem to be
necessary except in a small number of cases. Overwhelmingly, the vocative serves pragmatic
functions. Comparing linguistic features such as the vocative across datasets enhances
the descriptive framework for spoken genres.
Keywords
EnglishLanguage