1.

Record Nr.

UNINA9910136146403321

Autore

Gries Stefan Thomas <1970-, >

Titolo

Quantitative corpus linguistics with R : a practical introduction / / Stefan Th. Gries

Pubbl/distr/stampa

New York ; ; London : , : Routledge, , 2017

ISBN

9781315746210

1315746212

9781317597650

1317597656

9781317597667

1317597664

Edizione

[Second edition.]

Descrizione fisica

1 online resource (203 pages) : illustrations, tables

Disciplina

410.18802855362

410.285536

Soggetti

R (Computer program language)

Linguistic analysis (Linguistics) - Data processing

Corpora (Linguistics)

Computational linguistics

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Previous edition: 2009.

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

1. Introduction -- 2. The four central corpus-linguistic methods -- 3. An introduction to R -- 4. Some basic statistical notions and tests -- 5. Using R in corpus linguistics : case studies -- 6. Next steps.

Sommario/riassunto

As in its first edition, the new edition of Quantitative Corpus Linguistics with R demonstrates how to process corpus-linguistic data with the open-source programming language and environment R. Geared in general towards linguists working with observational data, and particularly corpus linguists, it introduces R programming with emphasis on: data processing and manipulation in general; text processing with and without regular expressions of large bodies of textual and/or literary data, and; basic aspects of statistical analysis and visualization. This book is extremely hands-on and leads the reader through dozens of small applications as well as larger case



studies. Along with an array of exercise boxes and separate answer keys, the text features a didactic sequential approach in case studies by way of subsections that zoom in to every programming problem. The companion website to the book contains all relevant R code (amounting to approximately 7,000 lines of heavily commented code), most of the data sets as well as pointers to others, and a dedicated Google newsgroup. This new edition is ideal for both researchers in corpus linguistics and instructors who want to promote hands-on approaches to data in corpus linguistics courses.