Download or read book Corpus Linguistics and Statistics with R written by Guillaume Desagulier and published by Springer. This book was released on 2017-11-17 with total page 353 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Quantitative Corpus Linguistics with R written by Stefan Th. Gries and published by Routledge. This book was released on 2009-03-04 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Statistics for Linguistics with R written by Stefan Th. Gries and published by Walter de Gruyter. This book was released on 2009-12-15 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Statistics in Corpus Linguistics Research written by Sean Wallis and published by Routledge. This book was released on 2020-11-22 with total page 383 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Statistics in Corpus Linguistics written by Vaclav Brezina and published by Cambridge University Press. This book was released on 2018-09-20 with total page 317 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive and accessible introduction to statistics in corpus linguistics, covering multiple techniques of quantitative language analysis and data visualisation.
Download or read book Analyzing Linguistic Data written by R. H. Baayen and published by Cambridge University Press. This book was released on 2008-03-06 with total page 40 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Statistics for Linguists An Introduction Using R written by Bodo Winter and published by Routledge. This book was released on 2019-10-30 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Statistics for Corpus Linguistics written by Michael Oakes and published by Edinburgh University Press. This book was released on 2019-08-06 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book A Practical Handbook of Corpus Linguistics written by Magali Paquot and published by Springer Nature. This book was released on 2021-05-04 with total page 686 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Quantitative Corpus Linguistics with R written by Stefan Th. Gries and published by Routledge. This book was released on 2009-03-04 with total page 234 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Corpus Linguistics written by Douglas Biber and published by Cambridge University Press. This book was released on 1998-04-23 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is about investigating the way people use language in speech and writing. It introduces the corpus-based approach to linguistics, based on analysis of large databases of real language examples stored on computer. Each chapter focuses on a different area of linguistics, including lexicography, grammar, discourse, register variation, language acquisition, and historical linguistics. Example analyses are presented in each chapter to provide concrete descriptions of the research methods and advantages of corpus-based techniques. Ten methodology boxes provide clear and concise explanations of the issues in doing corpus-based research and reading corpus-based studies and there is a useful appendix of resources for corpus-based investigation. This lucid and comprehensive introduction to the subject will be welcomed by a broad range of readers, from undergraduate students to professional researchers.
Download or read book Ten Lectures on Corpus Linguistics with R written by Stefan Th. Gries and published by BRILL. This book was released on 2019-11-26 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: Stefan Th. Gries provides an overview on how quantitative corpus methods can provide insights to cognitive/usage-based linguistics and selected psycholinguistic questions as well as introductory examples of how to use R for such research.
Download or read book Corpus Linguistics for Vocabulary written by Paweł Szudarski and published by Routledge. This book was released on 2017-09-25 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book How to do Linguistics with R written by Natalia Levshina and published by John Benjamins Publishing Company. This book was released on 2015-11-25 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Download or read book Corpus Linguistics for Pragmatics written by Christoph Rühlemann and published by Routledge. This book was released on 2018-10-10 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: Corpus Linguistics for Pragmatics provides a practical and comprehensive introduction to the growing field of corpus pragmatics. Taking a hands-on approach to showcase the applications of corpora in the exploration of core topics within pragmatics, this book: • covers six key areas of corpus-pragmatic research including speech acts, deixis, pragmatic markers, evaluation, conversational structure, and multimodality; • demonstrates the use of freely-available corpora, corpus interfaces and corpus analysis tools to conduct original pragmatic analyses; • is accompanied by an e-resource which hosts multimodal data sets for additional exercises. Featuring case studies and practical tasks within each chapter, Corpus Linguistics for Pragmatics is an essential guide for students and researchers studying or conducting their own corpus-based research in pragmatics.
Download or read book Doing Corpus Linguistics written by William Crawford and published by Routledge. This book was released on 2015-09-25 with total page 178 pages. Available in PDF, EPUB and Kindle. Book excerpt: Doing Corpus Linguistics offers a practical step-by-step introduction to corpus linguistics, making use of widely available corpora and of a register analysis-based theoretical framework to provide students in Applied Linguistics and TESOL with the understanding and skills necessary to meaningfully analyze corpora and carry out successful corpus-based research. Divided into three parts – Introduction to Doing Corpus Linguistics and Register Analysis; Searches in Available Corpora; and Building Your Own Corpus, Analyzing Your Quantitative Results, and Making Sense of Data – the book emphasizes hands-on experience with performing language analysis research and in interpreting findings in a meaningful and engaging way. Readers are given multiple opportunities to analyze and apply language data by completing smaller tasks and corpus projects using publicly available corpora. The book also takes readers through the process of building a specialized corpus designed to answer a specific research question and provides detailed information on completing a final research project that includes both a written paper and an oral presentation of their specific research projects. Doing Corpus Linguistics provides students in applied linguistics and TESOL with the opportunity to gain proficiency in the technical and interpretive aspects of corpus research and to encourage them to participate in the growing field of corpus linguistics.
Download or read book Statistics for Linguistics with R written by Stefan Th. Gries and published by Walter de Gruyter GmbH & Co KG. This book was released on 2021-05-10 with total page 622 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
