TY - CHAP
T1 - The role of the text in corpus and discourse analysis
T2 - Missing the trees for the forest
AU - Egbert, Jesse
AU - Schnur, Erin
N1 - Funding Information:
This research was partially supported by the National Institute on Minority Health and Health Disparities (grant MD006923). We conducted this research in Tovaangar (Los Angeles Basin, Southern Channel Islands) and we acknowledge the Tongva peoples as the traditional land caretakers. We thank Desirae Barragan (San Gabriel Band of Mission Indians), undergraduate research assistant, who supported the collection of death certificate data. We thank Stephanie Carroll (Ahtna/Native Village of Kluti-Kaah) for her review of an early draft of this article. We also thank the anonymous reviewers for their useful suggestions.
Publisher Copyright:
© 2018 selection and editorial matter, Charlotte Taylor and Anna Marchi; individual chapters, the contributors.
PY - 2018/1/1
Y1 - 2018/1/1
N2 - Increasingly, researchers in discourse analysis and critical discourse analysis (CDA) are relying on corpora and corpus linguistic methods in their research. This has led to the establishment of new fields of study, such as corpus-assisted discourse studies (CADS: Partington 2004; 2006) and the integration of corpus linguistic and CDA methodologies (e.g. Baker et al. 2008; Fairclough et al. 2007). There are many advantages of using corpora - large and representative samples of natural texts - and corpus linguistic methods in discourse analysis. The use of large, representative corpus samples increases the generalisability of research findings, and the use of computer-based corpus methodologies can offer increased efficiency, reliability and objectivity.
AB - Increasingly, researchers in discourse analysis and critical discourse analysis (CDA) are relying on corpora and corpus linguistic methods in their research. This has led to the establishment of new fields of study, such as corpus-assisted discourse studies (CADS: Partington 2004; 2006) and the integration of corpus linguistic and CDA methodologies (e.g. Baker et al. 2008; Fairclough et al. 2007). There are many advantages of using corpora - large and representative samples of natural texts - and corpus linguistic methods in discourse analysis. The use of large, representative corpus samples increases the generalisability of research findings, and the use of computer-based corpus methodologies can offer increased efficiency, reliability and objectivity.
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M3 - Chapter
AN - SCOPUS:85045867285
SN - 9781138895782
SP - 159
EP - 173
BT - Corpus Approaches to Discourse
PB - Taylor and Francis
ER -