Quantitative Corpus Linguistics With R
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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.
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.
Corpus Linguistics And Statistics With R
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Author : Guillaume Desagulier
language : en
Publisher: Springer
Release Date : 2017-11-17
Corpus Linguistics And Statistics With R written by Guillaume Desagulier and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-11-17 with Computers categories.
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.
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.
Statistics For Linguistics With R
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Author : Stefan Th. Gries
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2021-05-10
Statistics For Linguistics With R written by Stefan Th. Gries and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-10 with Language Arts & Disciplines categories.
This is the third, newly revised and extended edition of this successful book (that has already been translated into three languages). Like the previous editions, it is entirely based on the programming language and environment R and is still thoroughly hands-on (with thousands of lines of heavily annotated code for all computations and plots). However, this edition has been updated based on many workshops/bootcamps taught by the author all over the world for the past few years: This edition has been didactically streamlined with regard to its exposition, it adds two new chapters – one on mixed-effects modeling, one on classification and regression trees as well as random forests – plus it features new discussion of curvature, orthogonal and other contrasts, interactions, collinearity, the effects and emmeans packages, autocorrelation/runs, some more bits on programming, writing statistical functions, and simulations, and many practical tips based on 10 years of teaching with these materials.
How To Do Linguistics With R
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Author : Natalia Levshina
language : en
Publisher: John Benjamins Publishing Company
Release Date : 2015-11-25
How To Do Linguistics With R written by Natalia Levshina and has been published by John Benjamins Publishing Company this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-11-25 with Language Arts & Disciplines categories.
This book provides a linguist with a statistical toolkit for exploration and analysis of linguistic data. It employs R, a free software environment for statistical computing, which is increasingly popular among linguists. How to do Linguistics with R: Data exploration and statistical analysis is unique in its scope, as it covers a wide range of classical and cutting-edge statistical methods, including different flavours of regression analysis and ANOVA, random forests and conditional inference trees, as well as specific linguistic approaches, among which are Behavioural Profiles, Vector Space Models and various measures of association between words and constructions. The statistical topics are presented comprehensively, but without too much technical detail, and illustrated with linguistic case studies that answer non-trivial research questions. The book also demonstrates how to visualize linguistic data with the help of attractive informative graphs, including the popular ggplot2 system and Google visualization tools. This book has a companion website: http://doi.org/10.1075/z.195.website
Statistics For Linguistics With R
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Author : Stefan Thomas Gries
language : en
Publisher: Walter de Gruyter
Release Date : 2009
Statistics For Linguistics With R written by Stefan Thomas Gries and has been published by Walter de Gruyter this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with Computers categories.
The book features recommendations for further study, think breaks and exercises. Full answer keys to the exercises are provided on the book's companion website which is part of a newsgroup where readers can download all data and code, post questions, and receive feedback from other readers and the author. --Book Jacket.
Data And Methods In Corpus Linguistics
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Author : Ole Schützler
language : en
Publisher: Cambridge University Press
Release Date : 2022-05-26
Data And Methods In Corpus Linguistics written by Ole Schützler 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 2022-05-26 with Computers categories.
By contrasting different approaches and datasets, this book highlights critical developments in latest corpus-linguistic research.