Utvidet returrett til 31. januar 2024

Challenges in Corpus Linguistics

Om Challenges in Corpus Linguistics

This book contributes to the discussion of challenges faced in different areas of corpus linguistics, namely the compilation, annotation, and analysis of linguistic corpora. In a field of growing corpus sizes and expanding possibilities of gathering data, some old issues persist, while at the same time new problems have emerged. As the compilation and study of language corpora gets increasingly sophisticated and complex, continuous attention on ways of dealing with the data in question and challenges in text selection and interpretation is needed. The contributions to this volume address problems relating to a variety of areas in corpus linguistic study, including corpus annotation, data variability, learner language, social media texts, and database utilization. The authors provide critical overviews and research-based analyses, discuss the nature of some of the common pitfalls, and offer solutions to existing problems.

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  • Språk:
  • Engelsk
  • ISBN:
  • 9789027215888
  • Bindende:
  • Hardback
  • Sider:
  • 172
  • Utgitt:
  • 19. september 2024
  • Dimensjoner:
  • 168x248x15 mm.
  • Vekt:
  • 470 g.
  • BLACK NOVEMBER
  Gratis frakt
Leveringstid: 2-4 uker
Forventet levering: 30. november 2024

Beskrivelse av Challenges in Corpus Linguistics

This book contributes to the discussion of challenges faced in different areas of corpus linguistics, namely the compilation, annotation, and analysis of linguistic corpora. In a field of growing corpus sizes and expanding possibilities of gathering data, some old issues persist, while at the same time new problems have emerged. As the compilation and study of language corpora gets increasingly sophisticated and complex, continuous attention on ways of dealing with the data in question and challenges in text selection and interpretation is needed. The contributions to this volume address problems relating to a variety of areas in corpus linguistic study, including corpus annotation, data variability, learner language, social media texts, and database utilization. The authors provide critical overviews and research-based analyses, discuss the nature of some of the common pitfalls, and offer solutions to existing problems.

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