Quantitative Corpus Linguistics With R
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Quantitative Corpus Linguistics With R
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Author : Stefan Th. Gries
language : en
Publisher: Routledge
Release Date : 2009-03-04
Quantitative Corpus Linguistics With R written by Stefan Th. Gries and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-03-04 with Education categories.
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.
Quantitative Corpus Linguistics With R
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Author : Stefan Thomas Gries
language : en
Publisher:
Release Date : 2017
Quantitative Corpus Linguistics With R written by Stefan Thomas Gries and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with Computational linguistics categories.
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.
Quantitative Corpus Linguistics With R
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Author : Stefan Th. Gries
language : en
Publisher: Routledge
Release Date : 2016-10-14
Quantitative Corpus Linguistics With R written by Stefan Th. Gries and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-10-14 with Education categories.
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.
Ten Lectures On Corpus Linguistics With R
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Author : Stefan Th. Gries
language : en
Publisher: BRILL
Release Date : 2019-11-26
Ten Lectures On Corpus Linguistics With R written by Stefan Th. Gries and has been published by BRILL this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-26 with Language Arts & Disciplines categories.
In this book, Stefan Th. Gries provides an overview on how quantitative corpus methods can provide insights to cognitive/usage-based linguistics and selected psycholinguistic questions. Topics include the corpus linguistics in general, its most important methodological tools, its statistical nature, and the relation of all these topics to past and current usage-based theorizing. Central notions discussed in detail include frequency, dispersion, context, and others in a variety of applications and case studies; four practice sessions offer short introductions of how to compute various corpus statistics with the open source programming language and environment R.
A Practical Handbook Of Corpus Linguistics
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Author : Magali Paquot
language : en
Publisher: Springer Nature
Release Date : 2021-05-04
A Practical Handbook Of Corpus Linguistics written by Magali Paquot and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-04 with Philosophy categories.
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.
Statistics In Corpus Linguistics
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Author : Vaclav Brezina
language : en
Publisher: Cambridge University Press
Release Date : 2018-09-20
Statistics In Corpus Linguistics written by Vaclav Brezina and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-20 with Foreign Language Study categories.
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
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Author : Stefan Th. Gries
language : en
Publisher: Routledge
Release Date : 2009-03-04
Quantitative Corpus Linguistics With R written by Stefan Th. Gries and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-03-04 with Education categories.
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.
Quantitative Corpus Linguistics With R
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Author : Stefan Gries
language : en
Publisher:
Release Date : 2009
Quantitative Corpus Linguistics With R written by Stefan Gries and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with R (Computer program language) categories.
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.
Visual Linguistics With R
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Author : Christoph Rühlemann
language : en
Publisher:
Release Date : 2020-09-15
Visual Linguistics With R written by Christoph Rühlemann and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-15 with categories.
This book is a textbook on R, a programming language and environment for statistical analysis and visualization. Its primary aim is to introduce R as a research instrument in quantitative Interactional Linguistics. Focusing on visualization in R, the book presents original case studies on conversational talk-in-interaction based on corpus data and explains in good detail how key graphs in the case studies were programmed in R. It also includes task sections to enable readers to conduct their own research and compute their own visualizations in R. Both the code underlying the key graphs in the case studies and the datasets used in the case studies as well as in the task sections are made available on the book's companion website.
Analyzing Linguistic Data
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Author : R. H. Baayen
language : en
Publisher: Cambridge University Press
Release Date : 2008-03-06
Analyzing Linguistic Data written by R. H. Baayen and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-03-06 with Language Arts & Disciplines categories.
Statistical analysis is a useful skill for linguists and psycholinguists, allowing them to understand the quantitative structure of their data. This textbook provides a straightforward introduction to the statistical analysis of language. Designed for linguists with a non-mathematical background, it clearly introduces the basic principles and methods of statistical analysis, using 'R', the leading computational statistics programme. The reader is guided step-by-step through a range of real data sets, allowing them to analyse acoustic data, construct grammatical trees for a variety of languages, quantify register variation in corpus linguistics, and measure experimental data using state-of-the-art models. The visualization of data plays a key role, both in the initial stages of data exploration and later on when the reader is encouraged to criticize various models. Containing over 40 exercises with model answers, this book will be welcomed by all linguists wishing to learn more about working with and presenting quantitative data.