A Practical Handbook of Corpus Linguistics (eBook)

Magali Paquot, Stefan Th. Gries (Herausgeber)

eBook Download: PDF

2021 | 1st ed. 2020
XI, 686 Seiten
Springer International Publishing (Verlag)
978-3-030-46216-1 (ISBN)

Infos

This handbook is a comprehensive practical resource on corpus linguistics. It features a range of basic and advanced approaches, methods and techniques in corpus linguistics, from corpus compilation principles to quantitative data analyses. The Handbook is organized in  six Parts. Parts I to III feature chapters that discuss key issues and the know-how related to various topics around corpus design, methods and corpus types. Parts IV-V aim to offer a user-friendly introduction to the quantitative analysis of corpus data: for each statistical technique discussed, chapters provide a practical guide with R and come with supplementary online material. Part VI focuses on how to write a corpus linguistic paper and how to meta-analyze corpus linguistic research. The volume can serve as a course book as well as for individual study. It will be an essential reading for students of corpus linguistics as well as experienced researchers who want to expand their knowledge of the field.

Magali Paquot is a permanent FNRS research associate at the Centre for English Corpus Linguistics, UCLouvain. She is co-editor in chief of the International Journal of Learner Corpus Research and a founding member of the Learner Corpus Research Association. 

Stefan Th. Gries is Professor in the Department of Linguistics at the University of California, Santa Barbara (UCSB) and Chair of English Linguistics (Corpus Linguistics with a focus on quantitative methods) at the Justus-Liebig-Universität Giessen (25%). He was a Visiting Chair of the Centre for Corpus Approaches to Social Science at Lancaster University for 5 years, held the Honorary Leibniz Professorship at the University of Leipzig, and was a Visiting Professor at multiple LSA Summer Institutes.

Produkt-Details

• Erscheint lt. Verlag: 4.5.2021
• Zusatzinfo: XI, 686 p. 206 illus., 46 illus. in color.
• Sprache: englisch
• Themenwelt: Geisteswissenschaften ► Philosophie
• Themenwelt: Mathematik / Informatik ► Mathematik ► Statistik
• Schlagworte: child-language corpora • conditional inference trees • Corpus Linguistics • corpus linguistics methods • corpus statistics • diachronic linguistic corpora • Learner corpora • linguistic corpus annotation • linguistic corpus compilation • linguistic corpus design • meta-analysis in corpus linguistics • multimodal corpora • Parallel Corpora • programming for corpus linguistics • quantitative research in linguistics • spoken corpora • statistics with R for corpus linguistics • word frequency lists and counts
• ISBN-10: 3-030-46216-1 / 3030462161
• ISBN-13: 978-3-030-46216-1 / 9783030462161