Quantitative Corpus Linguistics with R
A Practical Introduction
Nonfiction, Reference & Language, Language Arts, Linguistics, Education & Teaching, Teaching, Teaching Methods
| Author: | Stefan Th. Gries | ISBN: | 9781317597650 |
| Publisher: | Taylor and Francis | Publication: | October 14, 2016 |
| Imprint: | Routledge | Language: | English |
| Author: | Stefan Th. Gries |
| ISBN: | 9781317597650 |
| Publisher: | Taylor and Francis |
| Publication: | October 14, 2016 |
| Imprint: | Routledge |
| Language: | English |
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.
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.
