Produktdetaljer
Biografisk notat
Dawn Knight is a Research Fellow at the Centre for Research in Applied Linguistics (CRAL), University of Nottingham, UK.In face-to-face interaction movements of the head and body can carry meaning that is as important as the words. Yet in the analysis of talk, this is seldom acknowledged or methodically handled. Dawn Knight's clear and persuasive account of how such movements can be systematically recorded and analyzed achieves a major step forward for both discourse analysis and corpus linguistics.
- Professor Guy Cook, Centre for Language and Communication, The Open University, UK,
This is an important book documenting the move from mono-modal to multi-modal corpora of spoken language. It brings the reader into the exciting new world of multimodal corpora which capture much more fully the real time context of spoken interactions, from the prosodic, to the behavioural and the situational, whereby the corpus moves from being a one-dimensional to the multidimensional repository of spoken interaction. Anyone who is interested in corpora should read this book. Based on data from the Nottingham Multimodal Corpus (NMMC), the book very clearly illustrates the process of building a multimodal corpus and it focuses on its potential for in depth research, the scale of which would not have previously been possible. The level of detail on how to build a multi-modal corpus is invaluable, including key information on recording, mark-up and coding of the data. The clear writing style and the frequent use of screenshots greatly enhance the presentation of these details making it accessible to readers who do not have a high level of technical knowledge about corpus building. The analysis of head nods from the NMMC is the main analytical focus of the book and this provides a glimpse of the potential of the new world of multi-modal corpora. It provides fascinating quantitative results and correlations on when head nods are used and when they are not. In addition, it provides a functional analysis of head nods based on the data sample. The analysis of head nods is testimony to the enormous potential of this exciting new research tool.
- Anne O'Keeffe, Senior Lecturer in Applied Linguistics, Mary Immaculate College, University of Limerick, Ireland,
Acknowledgements
Acronyms
List of tables
List of figures
1. Introduction
2. Corpora Beyond Text - Developing Multimodal Corpora
3. Language and Gesture
4. Backchannels
5. Analysing Backchanneling Head Nods
6. A Coding Matrix for Backchanneling Phenomena
7. Semi-automated Head Nod Tracking
8. Concluding Remarks
Glossary
References
Index
Language is ubiquitous. As never before, it is now commonly understood how crucial language is for human interaction, for negotiating and shaping our material and ideational reality. In the digital age, the speed, scale and diversity of forms of communication and language use have grown rapidly. The increasing amount of language data that influences attitudes, decision-making and relationships highlights how the methodology of corpus linguistics together with the explanatory power of discourse analysis are indispensable for deciphering the world around us.
Situated at the interface of corpus linguistics and discourse studies, the Corpus and Discourse series publishes innovative research where humanities and social sciences come together to understand the relationship between discourse and society in an increasingly digital world.
Series Editors: Michaela Mahlberg (University of Birmingham, UK) and Gavin Brookes (Lancaster University, UK)
Consulting Editor: Wolfgang Teubert (University of Birmingham, UK)
Editorial Board
Paul Baker, Lancaster University, UK
Frantisek Cermák, Charles University, Prague
Susan Conrad, Portland State University, USA
Matteo Fuoli, University of Birmingham, UK
Maristella Gatto, University of Bari, Italy
Dominique Maingueneau, Université de Paris XII, France
Christian Mair, University of Freiburg, Germany
Alan Partington, University of Bologna, Italy
Charlotte Taylor, University of Sussex, UK
Elena Tognini-Bonelli, University of Siena, Italy
Ruth Wodak, Lancaster University, UK
Ruihua Zhang, Tianjin University of Science and Technology, China
Feng Zhiwei, Institute of Applied Linguistics, Beijing, China