Corpus-Based and Corpus-driven Analyses of Language Variation and Use

Research output: Chapter in Book/Report/Conference proceedingChapter

12 Citations (Scopus)

Abstract

Corpus linguistics is a research approach that has developed over the past few decades to support empirical investigations of language variation and use, resulting in research findings which have much greater generalizability and validity than would otherwise be feasible. Corpus studies have used two major research approaches: 'corpus-based' and 'corpus-driven'. Corpus-based research assumes the validity of linguistic forms and structures derived from linguistic theory. The primary goal of research is to analyse the systematic patterns of variation and use for those pre-defined linguistic features. Corpus-driven research is more inductive, so that the linguistic constructs themselves emerge from analysis of a corpus. This chapter illustrates the kinds of analyses and perspectives on language use possible from both corpus-based and corpus-driven approaches.

Original languageEnglish (US)
Title of host publicationThe Oxford Handbook of Linguistic Analysis
PublisherOxford University Press
ISBN (Print)9780191743849, 9780199544004
DOIs
StatePublished - Sep 18 2012

Fingerprint

linguistics
language
research approach
Language Variation
Language Use
Corpus-based
Corpus Study
Corpus Linguistics
Linguistic Form
Corpus-driven Research
Linguistic Features
Linguistic Theory

Keywords

  • Corpus linguistics
  • Language use
  • Language variation
  • Linguistic theory

ASJC Scopus subject areas

  • Arts and Humanities(all)
  • Social Sciences(all)

Cite this

Corpus-Based and Corpus-driven Analyses of Language Variation and Use. / Biber, Douglas E.

The Oxford Handbook of Linguistic Analysis. Oxford University Press, 2012.

Research output: Chapter in Book/Report/Conference proceedingChapter

Biber, Douglas E. / Corpus-Based and Corpus-driven Analyses of Language Variation and Use. The Oxford Handbook of Linguistic Analysis. Oxford University Press, 2012.
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