Download or read online books in PDF, EPUB and Mobi Format. Click Download or Read Online button to get book now. This site is like a library, Use search box in the widget to get ebook that you want.

Quantitative Corpus Linguistics with R

Quantitative Corpus Linguistics with R Author Stefan Thomas Gries
ISBN-10 1138816280
Release 2016-10-25
Pages 286
Download Link Click Here

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

Quantitative Corpus Linguistics with R Author Stefan Th. Gries
ISBN-10 9781317597650
Release 2016-10-14
Pages 286
Download Link Click Here

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 for Linguistics with R

Statistics for Linguistics with R Author Stefan Th. Gries
ISBN-10 9783110307474
Release 2013-03-22
Pages 372
Download Link Click Here

This book is the revised and extended second edition of Statistics for Linguistics with R. The volume 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. Just like the first edition, it is aimed at students, faculty, and researchers with little or no statistical background in statistics or the open source programming language R. It avoids mathematical jargon and discusses the logic and structure of quantitative studies and introduces descriptive statistics as well as a range of monofactorial statistical tests for frequencies, distributions, means, dispersions, and correlations. The comprehensive revision includes new small sections on programming topics that facilitate statistical analysis, the addition of a variety of statistical functions readers can apply to their own data, a revision of overview sections on statistical tests and regression modeling, a complete rewrite of the chapter on multifactorial approaches, which now contains sections on linear regression, binary and ordinal logistic regression, multinomial and Poisson regression, and repeated-measures ANOVA, and a new visual tool to identify the right statistical test for a given problem and data set. The amount of code available from the companion website has doubled in size, providing much supplementary material on statistical tests and advanced plotting.



Analyzing Linguistic Data

Analyzing Linguistic Data Author R. H. Baayen
ISBN-10 9781139470735
Release 2008-03-06
Pages
Download Link Click Here

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.



Quantitative Methods In Linguistics

Quantitative Methods In Linguistics Author Keith Johnson
ISBN-10 9781444360431
Release 2011-09-23
Pages 296
Download Link Click Here

Quantitative Methods in Linguistics offers a practical introduction to statistics and quantitative analysis with data sets drawn from the field and coverage of phonetics, psycholinguistics, sociolinguistics, historical linguistics, and syntax, as well as probability distribution and quantitative methods. Provides balanced treatment of the practical aspects of handling quantitative linguistic data Includes sample datasets contributed by researchers working in a variety of sub-disciplines of linguistics Uses R, the statistical software package most commonly used by linguists, to discover patterns in quantitative data and to test linguistic hypotheses Includes student-friendly end-of-chapter assignments and is accompanied by online resources at available in the 'Downloads' section, below



Corpus Linguistics

Corpus Linguistics Author Tony McEnery
ISBN-10 9781139502443
Release 2011-10-06
Pages
Download Link Click Here

Corpus linguistics is the study of language data on a large scale - the computer-aided analysis of very extensive collections of transcribed utterances or written texts. This textbook outlines the basic methods of corpus linguistics, explains how the discipline of corpus linguistics developed and surveys the major approaches to the use of corpus data. It uses a broad range of examples to show how corpus data has led to methodological and theoretical innovation in linguistics in general. Clear and detailed explanations lay out the key issues of method and theory in contemporary corpus linguistics. A structured and coherent narrative links the historical development of the field to current topics in 'mainstream' linguistics. Practical tasks and questions for discussion at the end of each chapter encourage students to test their understanding of what they have read and an extensive glossary provides easy access to definitions of technical terms used in the text.



How to do Linguistics with R

How to do Linguistics with R Author Natalia Levshina
ISBN-10 9789027268457
Release 2015-11-25
Pages 443
Download Link Click Here

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 Corpus Linguistics

Statistics for Corpus Linguistics Author Michael P. Oakes
ISBN-10 0748608176
Release 1998
Pages 287
Download Link Click Here

Statistical techniques and corpus applications - whether oriented towards linguistics or language engineering - often go hand in glove, as Oakes demonstrates in this introduction to the subject which is designed for the use of non-mathematicians.



The Routledge Handbook of Corpus Linguistics

The Routledge Handbook of Corpus Linguistics Author Anne O'Keeffe
ISBN-10 9781135153625
Release 2010-04-05
Pages 740
Download Link Click Here

The Routledge Handbook of Corpus Linguistics provides a timely overview of a dynamic and rapidly growing area with a widely applied methodology. Through the electronic analysis of large bodies of text, corpus linguistics demonstrates and supports linguistic statements and assumptions. In recent years it has seen an ever-widening application in a variety of fields: computational linguistics, discourse analysis, forensic linguistics, pragmatics and translation studies. Bringing together experts in the key areas of development and change, the handbook is structured around six themes which take the reader through building and designing a corpus to using a corpus to study literature and translation. A comprehensive introduction covers the historical development of the field and its growing influence and application in other areas. Structured around five headings for ease of reference, each contribution includes further reading sections with three to five key texts highlighted and annotated to facilitate further exploration of the topics. The Routledge Handbook of Corpus Linguistics is the ideal resource for advanced undergraduates and postgraduates.



Text Analysis with R for Students of Literature

Text Analysis with R for Students of Literature Author Matthew Jockers
ISBN-10 9783319031644
Release 2014-06-10
Pages 194
Download Link Click Here

Text Analysis with R for Students of Literature is written with students and scholars of literature in mind but will be applicable to other humanists and social scientists wishing to extend their methodological tool kit to include quantitative and computational approaches to the study of text. Computation provides access to information in text that we simply cannot gather using traditional qualitative methods of close reading and human synthesis. Text Analysis with R for Students of Literature provides a practical introduction to computational text analysis using the open source programming language R. R is extremely popular throughout the sciences and because of its accessibility, R is now used increasingly in other research areas. Readers begin working with text right away and each chapter works through a new technique or process such that readers gain a broad exposure to core R procedures and a basic understanding of the possibilities of computational text analysis at both the micro and macro scale. Each chapter builds on the previous as readers move from small scale “microanalysis” of single texts to large scale “macroanalysis” of text corpora, and each chapter concludes with a set of practice exercises that reinforce and expand upon the chapter lessons. The book’s focus is on making the technical palatable and making the technical useful and immediately gratifying.



Corpus Linguistics for Vocabulary

Corpus Linguistics for Vocabulary Author Pawe? Szudarski
ISBN-10 9781351608046
Release 2017-09-25
Pages 228
Download Link Click Here

Corpus Linguistics for Vocabulary provides a practical introduction to using corpus linguistics in vocabulary studies. Using freely available corpus tools, the author provides a step-by-step guide on how corpora can be used to explore key vocabulary-related research questions and topics such as: The frequency of English words and how to choose which ones should be taught to learners; How spoken vocabulary differs from written vocabulary, and how academic vocabulary differs from general vocabulary; How vocabulary contributes to the structure of discourse, and the pragmatic functions it fulfils. Featuring case studies and tasks throughout, Corpus Linguistics for Vocabulary provides a clear and accessible guide and is essential reading for students and teachers wanting to understand, appreciate and conduct corpus-based research in vocabulary studies.



Corpus Linguistics and Statistics with R

Corpus Linguistics and Statistics with R Author Guillaume Desagulier
ISBN-10 9783319645728
Release 2017-11-17
Pages 353
Download Link Click Here

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.



Corpus Linguistics for Grammar

Corpus Linguistics for Grammar Author Christian Jones
ISBN-10 9781317499015
Release 2015-04-24
Pages 202
Download Link Click Here

Corpus Linguistics for Grammar provides an accessible and practical introduction to the use of corpus linguistics to analyse grammar, demonstrating the wider application of corpus data and providing readers with all the skills and information they need to carry out their own corpus-based research. This book: explores the kinds of corpora available and the tools which can be used to analyse them; looks at specific ways in which features of grammar can be explored using a corpus through analysis of areas such as frequency and colligation; contains exercises, worked examples and suggestions for further practice with each chapter; provides three illustrative examples of potential research projects in the areas of English Literature, TESOL and English Language. Corpus Linguistics for Grammar is essential reading for students undertaking corpus-based research into grammar, or studying within the areas of English Language, Literature, Applied Linguistics and TESOL.



Corpus Linguistics for Translation and Contrastive Studies

Corpus Linguistics for Translation and Contrastive Studies Author Mikhail Mikhailov
ISBN-10 9781317229391
Release 2016-05-20
Pages 234
Download Link Click Here

Corpus Linguistics for Translation and Contrastive Studies provides a clear and practical introduction to using corpora in these fields. Giving special attention to parallel corpora, which are collections of texts in two or more languages, and demonstrating the potential benefits for multilingual corpus linguistics research to both translators and researchers, this book: explores the different types of parallel corpora available, and shows how to use basic and advanced search procedures to analyse them; explains how to compile a parallel corpus, and discusses their uses for translation purposes and to research linguistic phenomena across languages; demonstrates the use of corpus extracts across a wide range of texts, including dictionaries, novels by authors including Jane Austen and Mikhail Bulgakov, and newspapers such as The Sunday Times; is illustrated with case studies from a range of languages including Finnish, Russian, English and French. Written by two experienced researchers and practitioners, Corpus Linguistics for Translation and Contrastive Studies is essential reading for postgraduate students and researchers working within the area of translation and contrastive studies.



Introducing Electronic Text Analysis

Introducing Electronic Text Analysis Author Svenja Adolphs
ISBN-10 9781134361588
Release 2006-09-27
Pages 176
Download Link Click Here

Introducing Electronic Text Analysis is a practical and much needed introduction to corpora – bodies of linguistic data. Written specifically for students studying this topic for the first time, the book begins with a discussion of the underlying principles of electronic text analysis. It then examines how these corpora enhance our understanding of literary and non-literary works. In the first section the author introduces the concepts of concordance and lexical frequency, concepts which are then applied to a range of areas of language study. Key areas examined are the use of on-line corpora to complement traditional stylistic analysis, and the ways in which methods such as concordance and frequency counts can reveal a particular ideology within a text. Presenting an accessible and thorough understanding of the underlying principles of electronic text analysis, the book contains abundant illustrative examples and a glossary with definitions of main concepts. It will also be supported by a companion website with links to on-line corpora so that students can apply their knowledge to further study. The accompanying website to this book can be found at http://www.routledge.com/textbooks/0415320216



Corpus Based Sociolinguistics

Corpus Based Sociolinguistics Author Eric Friginal
ISBN-10 9781136292774
Release 2013-12-17
Pages 312
Download Link Click Here

In the last decade, the availability of corpora and the technological advancements of corpus tools have increased dramatically. Applied linguists have greater access to data from around the world and in a variety of languages through websites, blogs, and social networking sites, and there is a high level of interest among these scholars in applying corpora and corpus-based methods to other research areas, particularly sociolinguistics. This innovative guidebook presents a systematic, in-depth account of using corpora in sociolinguistics. It introduces and expands the application of corpora and corpus approaches and tools in sociolinguistic research, surveys the growing number of studies in corpus-based sociolinguistics, and provides instructions and options for designing and developing corpus-based studies. Readers will find practical information on such contemporary topics as workplace registers, megacorpora, and using the web as a corpus. Vignettes, case studies, discussion questions, and activities throughout further enhance students’ involvement with the material and provide opportunities for hands-on practice of the methods discussed. Corpus-Based Sociolinguistics is a comprehensive and accessible guide, a must-read for any student or scholar interested in exploring this popular and promising approach to sociolinguistic research.



Essential Statistics for Applied Linguistics

Essential Statistics for Applied Linguistics Author Wander Lowie
ISBN-10 9781137284907
Release 2012-10-30
Pages 176
Download Link Click Here

Using numbers and research methods in your studies can be a little daunting at first. This book gives you straightforward guidance and no-nonsense advice on using, analysing and interpreting statistics and methodologies in empirical work. Each topic is introduced by an activity to help stimulate thought, and this is followed by a full explanation and exercises. Essential Statistics for Applied Linguistics: – explores different types of research and explains how to choose a methodology – gives clear explanations of statistical and mathematical terms – builds confidence and skills through hands-on exercises, examples and 'how-to' sections – offers online learning resources, including demonstrations with real data to be used with the software package SPSS Assuming no previous knowledge of methodology and statistics, this book will help you to acquire and strengthen your understanding, practice what you have learnt and feel comfortable with applying this new expertise to your own work.