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Doing Linguistics with a Corpus

Author: Jesse Egbert

Publisher: Cambridge University Press

Published: 2020-11-12

Total Pages: 94

ISBN-13: 1108897037

Paradoxically, doing corpus linguistics is both easier and harder than it has ever been before. On the one hand, it is easier because we have access to more existing corpora, more corpus analysis software tools, and more statistical methods than ever before. On the other hand, reliance on these existing corpora and corpus linguistic methods can potentially create layers of distance between the researcher and the language in a corpus, making it a challenge to do linguistics with a corpus. The goal of this Element is to explore ways for us to improve how we approach linguistic research questions with quantitative corpus data. We introduce and illustrate the major steps in the research process, including how to: select and evaluate corpora, establish linguistically-motivated research questions, observational units and variables, select linguistically interpretable variables, understand and evaluate existing corpus software tools, adopt minimally sufficient statistical methods, and qualitatively interpret quantitative findings.

Doing Corpus Linguistics

Author: William Crawford

Publisher: Routledge

Published: 2015-09-25

Total Pages: 178

ISBN-13: 1317688066

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Doing Corpus Linguistics offers a practical step-by-step introduction to corpus linguistics, making use of widely available corpora and of a register analysis-based theoretical framework to provide students in Applied Linguistics and TESOL with the understanding and skills necessary to meaningfully analyze corpora and carry out successful corpus-based research. Divided into three parts – Introduction to Doing Corpus Linguistics and Register Analysis; Searches in Available Corpora; and Building Your Own Corpus, Analyzing Your Quantitative Results, and Making Sense of Data – the book emphasizes hands-on experience with performing language analysis research and in interpreting findings in a meaningful and engaging way. Readers are given multiple opportunities to analyze and apply language data by completing smaller tasks and corpus projects using publicly available corpora. The book also takes readers through the process of building a specialized corpus designed to answer a specific research question and provides detailed information on completing a final research project that includes both a written paper and an oral presentation of their specific research projects. Doing Corpus Linguistics provides students in applied linguistics and TESOL with the opportunity to gain proficiency in the technical and interpretive aspects of corpus research and to encourage them to participate in the growing field of corpus linguistics.

Corpus linguistics

Author: Stefanowitsch, Anatol

Publisher: Language Science Press

Published: 1996

Total Pages: 510

ISBN-13: 3961102244

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Corpora are used widely in linguistics, but not always wisely. This book attempts to frame corpus linguistics systematically as a variant of the observational method. The first part introduces the reader to the general methodological discussions surrounding corpus data as well as the practice of doing corpus linguistics, including issues such as the scientific research cycle, research design, extraction of corpus data and statistical evaluation. The second part consists of a number of case studies from the main areas of corpus linguistics (lexical associations, morphology, grammar, text and metaphor), surveying the range of issues studied in corpus linguistics while at the same time showing how they fit into the methodology outlined in the first part.

Doing Corpus Linguistics

Author: Eniko Csomay

Publisher: Taylor & Francis

Published: 2024-02-28

Total Pages: 191

ISBN-13: 1003836488

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Doing Corpus Linguistics offers a practical step-by-step introduction to corpus linguistics, making use of widely available corpora and of a register analysis-based theoretical framework to provide students in applied linguistics and TESOL with the understanding and skills necessary to meaningfully analyze corpora and carry out successful corpus-based research. This second edition has been thoroughly revised and updated with fresh exercises, examples, and references, as well as an extensive list of English corpora around the world. It also provides more clarity around the approach used in the book, contains new sections on how to identify patterns in texts, and now covers Cohen’s statistical method. This practical and applied text emphasizes hands-on experience with performing language analysis research and interpreting findings in a meaningful and engaging way. Readers are given multiple opportunities to analyze language data by completing smaller tasks and corpus projects using publicly available corpora. The book also takes readers through the process of building a specialized corpus designed to answer a specific research question and offers detailed information on completing a final research project that includes both a written paper and an oral presentation of the reader’s specific research projects. Doing Corpus Linguistics provides students in applied linguistics and TESOL with the opportunity to gain proficiency in the technical and interpretive aspects of corpus research and to encourage them to participate in the growing field of corpus linguistics.

Corpus Stylistics

Author: Dan McIntyre

Publisher: EUP

Published: 2019

Total Pages: 0

ISBN-13: 9781474413213

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This theoretical and practical guide to using corpus linguistic techniques in stylistic analysis focuses on how to use off-the-shelf corpus software, such as AntConc, Wmatrix, and the Brigham Young University (BYU) corpus interface.

Statistics in Corpus Linguistics

Author: Vaclav Brezina

Publisher: Cambridge University Press

Published: 2018-09-20

Total Pages: 317

ISBN-13: 1107125707

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A comprehensive and accessible introduction to statistics in corpus linguistics, covering multiple techniques of quantitative language analysis and data visualisation.

Quantitative Corpus Linguistics with R

Author: Stefan Th. Gries

Publisher: Routledge

Published: 2009-03-04

Total Pages: 257

ISBN-13: 1135895600

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The first textbook of its kind, Quantitative Corpus Linguistics with R demonstrates how to use the open source programming language R for corpus linguistic analyses. Computational and corpus linguists doing corpus work will find that R provides an enormous range of functions that currently require several programs to achieve – searching and processing corpora, arranging and outputting the results of corpus searches, statistical evaluation, and graphing.

Corpus Linguistics

Author: Douglas Biber

Publisher: Cambridge University Press

Published: 1998-04-23

Total Pages:

ISBN-13: 1316582566

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This book is about investigating the way people use language in speech and writing. It introduces the corpus-based approach to linguistics, based on analysis of large databases of real language examples stored on computer. Each chapter focuses on a different area of linguistics, including lexicography, grammar, discourse, register variation, language acquisition, and historical linguistics. Example analyses are presented in each chapter to provide concrete descriptions of the research methods and advantages of corpus-based techniques. Ten methodology boxes provide clear and concise explanations of the issues in doing corpus-based research and reading corpus-based studies and there is a useful appendix of resources for corpus-based investigation. This lucid and comprehensive introduction to the subject will be welcomed by a broad range of readers, from undergraduate students to professional researchers.

Understanding Corpus Linguistics

Author: Danielle Barth

Publisher: Routledge

Published: 2021-11-18

Total Pages: 276

ISBN-13: 1000466752

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This textbook introduces the fundamental concepts and methods of corpus linguistics for students approaching this topic for the first time, putting specific emphasis on the enormous linguistic diversity represented by approximately 7,000 human languages and broadening the scope of current concerns in general corpus linguistics. Including a basic toolkit to help the reader investigate language in different usage contexts, this book: Shows the relevance of corpora to a range of linguistic areas from phonology to sociolinguistics and discourse Covers recent developments in the application of corpus linguistics to the study of understudied languages and linguistic typology Features exercises, short problems, and questions Includes examples from real studies in over 15 languages plus multilingual corpora Providing the necessary corpus linguistics skills to critically evaluate and replicate studies, this book is essential reading for anyone studying corpus linguistics.

Corpus Linguistics and Statistics with R

Author: Guillaume Desagulier

Publisher: Springer

Published: 2017-11-17

Total Pages: 353

ISBN-13: 3319645722

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This textbook examines empirical linguistics from a theoretical linguist’s perspective. It provides both a theoretical discussion of what quantitative corpus linguistics entails and detailed, hands-on, step-by-step instructions to implement the techniques in the field. The statistical methodology and R-based coding from this book teach readers the basic and then more advanced skills to work with large data sets in their linguistics research and studies. Massive data sets are now more than ever the basis for work that ranges from usage-based linguistics to the far reaches of applied linguistics. This book presents much of the methodology in a corpus-based approach. However, the corpus-based methods in this book are also essential components of recent developments in sociolinguistics, historical linguistics, computational linguistics, and psycholinguistics. Material from the book will also be appealing to researchers in digital humanities and the many non-linguistic fields that use textual data analysis and text-based sensorimetrics. Chapters cover topics including corpus processing, frequencing data, and clustering methods. Case studies illustrate each chapter with accompanying data sets, R code, and exercises for use by readers. This book may be used in advanced undergraduate courses, graduate courses, and self-study.