Corpus Linguistics And Statistics With R

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Corpus Linguistics and Statistics with R

Author : Guillaume Desagulier
Publisher : Springer
Page : 353 pages
File Size : 53,8 Mb
Release : 2017-11-17
Category : Computers
ISBN : 9783319645728

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Corpus Linguistics and Statistics with R by Guillaume Desagulier Pdf

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.

Quantitative Corpus Linguistics with R

Author : Stefan Th. Gries
Publisher : Routledge
Page : 257 pages
File Size : 50,7 Mb
Release : 2009-03-04
Category : Education
ISBN : 9781135895600

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Quantitative Corpus Linguistics with R by Stefan Th. Gries Pdf

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.

Statistics for Linguistics with R

Author : Stefan Th. Gries
Publisher : Walter de Gruyter
Page : 346 pages
File Size : 47,7 Mb
Release : 2009-12-15
Category : Language Arts & Disciplines
ISBN : 9783110216042

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Statistics for Linguistics with R by Stefan Th. Gries Pdf

This book is an introduction to statistics for linguists using the open source software R. It is aimed at students and instructors/professors with little or no statistical background and is written in a non-technical and reader-friendly/accessible style. It first introduces in detail the overall logic underlying quantitative studies: exploration, hypothesis formulation and operationalization, and the notion and meaning of significance tests. It then introduces some basics of the software R relevant to statistical data analysis. A chapter on descriptive statistics explains how summary statistics for frequencies, averages, and correlations are generated with R and how they are graphically represented best. A chapter on analytical statistics explains how statistical tests are performed in R on the basis of many different linguistic case studies: For nearly every single example, it is explained what the structure of the test looks like, how hypotheses are formulated, explored, and tested for statistical significance, how the results are graphically represented, and how one would summarize them in a paper/article. A chapter on selected multifactorial methods introduces how more complex research designs can be studied: methods for the study of multifactorial frequency data, correlations, tests for means, and binary response data are discussed and exemplified step-by-step. Also, the exploratory approach of hierarchical cluster analysis is illustrated in detail. The book comes with many exercises, boxes with short think breaks and warnings, recommendations for further study, and answer keys as well as a statistics for linguists newsgroup on the companion website. The volume is aimed at beginners on every level of linguistic education: undergraduate students, graduate students, and instructors/professors and can be used in any research methods and statistics class for linguists. It presupposes no quantitative/statistical knowledge whatsoever and, unlike most competing books, begins at step 1 for every method and explains everything explicitly.

Quantitative Corpus Linguistics with R

Author : Stefan Th. Gries
Publisher : Routledge
Page : 234 pages
File Size : 49,9 Mb
Release : 2009-03-04
Category : Education
ISBN : 9781135895594

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Quantitative Corpus Linguistics with R by Stefan Th. Gries Pdf

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.

Statistics in Corpus Linguistics

Author : Vaclav Brezina
Publisher : Cambridge University Press
Page : 317 pages
File Size : 54,6 Mb
Release : 2018-09-20
Category : Foreign Language Study
ISBN : 9781107125704

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Statistics in Corpus Linguistics by Vaclav Brezina Pdf

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

Statistics for Linguists: An Introduction Using R

Author : Bodo Winter
Publisher : Routledge
Page : 310 pages
File Size : 50,8 Mb
Release : 2019-10-30
Category : Education
ISBN : 9781351677431

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Statistics for Linguists: An Introduction Using R by Bodo Winter Pdf

Statistics for Linguists: An Introduction Using R is the first statistics textbook on linear models for linguistics. The book covers simple uses of linear models through generalized models to more advanced approaches, maintaining its focus on conceptual issues and avoiding excessive mathematical details. It contains many applied examples using the R statistical programming environment. Written in an accessible tone and style, this text is the ideal main resource for graduate and advanced undergraduate students of Linguistics statistics courses as well as those in other fields, including Psychology, Cognitive Science, and Data Science.

Analyzing Linguistic Data

Author : R. H. Baayen
Publisher : Cambridge University Press
Page : 40 pages
File Size : 50,5 Mb
Release : 2008-03-06
Category : Language Arts & Disciplines
ISBN : 9781139470735

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Analyzing Linguistic Data by R. H. Baayen Pdf

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.

Statistics for Linguistics with R

Author : Stefan Th. Gries
Publisher : Walter de Gruyter GmbH & Co KG
Page : 622 pages
File Size : 40,6 Mb
Release : 2021-05-10
Category : Language Arts & Disciplines
ISBN : 9783110718294

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Statistics for Linguistics with R by Stefan Th. Gries Pdf

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.

Quantitative Corpus Linguistics with R

Author : Stefan Thomas Gries
Publisher : Unknown
Page : 0 pages
File Size : 44,6 Mb
Release : 2017
Category : Computational linguistics
ISBN : 1138816280

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Quantitative Corpus Linguistics with R by Stefan Thomas Gries Pdf

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.

Statistics in Corpus Linguistics Research

Author : Sean Wallis
Publisher : Routledge
Page : 383 pages
File Size : 40,6 Mb
Release : 2020-11-22
Category : Computers
ISBN : 9780429958670

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Statistics in Corpus Linguistics Research by Sean Wallis Pdf

Traditional approaches focused on significance tests have often been difficult for linguistics researchers to visualise. Statistics in Corpus Linguistics Research: A New Approach breaks these significance tests down for researchers in corpus linguistics and linguistic analysis, promoting a visual approach to understanding the performance of tests with real data, and demonstrating how to derive new intervals and tests. Accessibly written, this book discusses the ‘why’ behind the statistical model, allowing readers a greater facility for choosing their own methodologies. Accessibly written for those with little to no mathematical or statistical background, it explains the mathematical fundamentals of simple significance tests by relating them to confidence intervals. With sample datasets and easy-to-read visuals, this book focuses on practical issues, such as how to: • pose research questions in terms of choice and constraint; • employ confidence intervals correctly (including in graph plots); • select optimal significance tests (and what results mean); • measure the size of the effect of one variable on another; • estimate the similarity of distribution patterns; and • evaluate whether the results of two experiments significantly differ. Appropriate for anyone from the student just beginning their career to the seasoned researcher, this book is both a practical overview and valuable resource.

Statistics for Corpus Linguistics

Author : Michael Oakes
Publisher : Edinburgh University Press
Page : 304 pages
File Size : 41,8 Mb
Release : 2019-08-06
Category : Language Arts & Disciplines
ISBN : 9781474471381

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Statistics for Corpus Linguistics by Michael Oakes Pdf

This book in the Edinburgh Textbooks in Empirical Linguistics series is a comprehensive introduction to the statistics currently used in corpus linguistics. Statistical techniques and corpus applications - whether oriented towards linguistics or language engineering - often go hand in glove, and corpus linguists have used an increasingly wide variety of statistics, drawing on techniques developed in a great many fields. This is the first one-volume introduction to the subject.

How to do Linguistics with R

Author : Natalia Levshina
Publisher : John Benjamins Publishing Company
Page : 456 pages
File Size : 48,8 Mb
Release : 2015-11-25
Category : Language Arts & Disciplines
ISBN : 9789027268457

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How to do Linguistics with R by Natalia Levshina Pdf

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

Analyzing Linguistic Data

Author : R. Harald Baayen
Publisher : Unknown
Page : 0 pages
File Size : 46,9 Mb
Release : 2008
Category : Computational linguistics
ISBN : 0511649622

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Analyzing Linguistic Data by R. Harald Baayen Pdf

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.

A Practical Handbook of Corpus Linguistics

Author : Magali Paquot,Stefan Th. Gries
Publisher : Springer Nature
Page : 686 pages
File Size : 47,8 Mb
Release : 2021-05-04
Category : Philosophy
ISBN : 9783030462161

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A Practical Handbook of Corpus Linguistics by Magali Paquot,Stefan Th. Gries Pdf

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 for Linguistics with R

Author : Stefan Thomas Gries
Publisher : Walter de Gruyter
Page : 346 pages
File Size : 55,6 Mb
Release : 2009
Category : Computers
ISBN : 9783110205640

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Statistics for Linguistics with R by Stefan Thomas Gries Pdf

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.