Exploring text-initial words, clusters and concgrams in a newspaper corpus
O'Donnell MB, Scott M, Mahlberg M, Hoey M (2012)
Publication Type: Journal article
Publication year: 2012
Journal
Book Volume: 8
Pages Range: 73-101
Journal Issue: 1
Abstract
The notion of textual colligation predicts that certain lexical items have a tendency to occur at particular points in a text, i.e. the beginning or end of texts, paragraphs or sentences. This paper describes new corpus-based methods developed to identify the profile of words, clusters (n-grams) and concgrams (non-contiguous patterns in variant order) in terms of their most common textual locations. Groups of co-occurring text-initial items are then analyzed in terms of their discourse function in relation to theories of newspaper structure. This analysis illustrates how methods from corpus linguistics, when targeted to specific textual positions, can complement text-linguistic analyses. © 2012 Walter de Gruyter.
Involved external institutions
University of Michigan
United States (USA) (US)
Aston University
United Kingdom (GB)
University of Nottingham
United Kingdom (GB)
The University of Liverpool
United Kingdom (GB)
United States (USA) (US)
Aston University
United Kingdom (GB)
University of Nottingham
United Kingdom (GB)
The University of Liverpool
United Kingdom (GB)
How to cite
APA:
O'Donnell, M.B., Scott, M., Mahlberg, M., & Hoey, M. (2012). Exploring text-initial words, clusters and concgrams in a newspaper corpus. Corpus linguistics and linguistic theory, 8(1), 73-101. https://doi.org/10.1515/cllt-2012-0004
MLA:
O'Donnell, Matthew Brook, et al. "Exploring text-initial words, clusters and concgrams in a newspaper corpus." Corpus linguistics and linguistic theory 8.1 (2012): 73-101.
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