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Triangulating Methodological Approaches in Corpus-Linguistic Research (Hardcover)
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Triangulating Methodological Approaches in Corpus-Linguistic Research (Hardcover)
Series: Routledge Advances in Corpus Linguistics
Expected to ship within 12 - 17 working days
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Contemporary corpus linguists use a wide variety of methods to
study discourse patterns. This volume provides a systematic
comparison of various methodological approaches in corpus
linguistics through a series of parallel empirical studies that use
a single corpus dataset to answer the same overarching research
question. Ten contributing experts each use a different method to
address the same broadly framed research question: In what ways
does language use in online Q+A forum responses differ across four
world English varieties (India, Philippines, United Kingdom, and
United States)? Contributions will be based on analysis of the same
400,000 word corpus from online Q+A forums, and contributors employ
methodologies including corpus-based discourse analysis, audience
perceptions, Multi-Dimensional analysis, pragmatic analysis, and
keyword analysis. In their introductory and concluding chapters,
the volume editors compare and contrast the findings from each
method and assess the degree to which 'triangulating' multiple
approaches may provide a more nuanced understanding of a research
question, with the aim of identifying a set of complementary
approaches which could arguably take into account analytical blind
spots. Baker and Egbert also consider the importance of issues such
as researcher subjectivity, type of annotation, the limitations and
affordances of different corpus tools, the relative strengths of
qualitative and quantitative approaches, and the value of
considering data or information beyond the corpus. Rather than
attempting to find the 'best' approach, the focus of the volume is
on how different corpus linguistic methodologies may complement one
another, and raises suggestions for further methodological studies
which use triangulation to enrich corpus-related research.
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