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 359 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 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 327 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 Statistics in Corpus Linguistics Research written by Sean Wallis and published by Routledge. This book was released on 2020-11-22 with total page 463 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 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 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: 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.
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 written by Douglas Biber and published by Cambridge University Press. This book was released on 1998-04-23 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: An investigation into the way people use language in speech and writing, this volume introduces the corpus-based approach, which is based on analysis of large databases of real language examples stored on computer.
Download or read book Corpus based Language Studies written by Tony McEnery and published by Taylor & Francis. This book was released on 2006 with total page 412 pages. Available in PDF, EPUB and Kindle. Book excerpt: Covering the major approaches to the use of corpus data, this work gathers together influential readings from leading names in the discipline, including Biber, Widdowson, Sinclair, Carter and McCarthy.
Download or read book Developing Linguistic Corpora written by Martin Wynne and published by Oxbow Books Limited. This book was released on 2005 with total page 100 pages. Available in PDF, EPUB and Kindle. Book excerpt: A linguistic corpus is a collection of texts which have been selected and brought together so that language can be studied on the computer. Today, corpus linguistics offers some of the most powerful new procedures for the analysis of language, and the impact of this dynamic and expanding sub-discipline is making itself felt in many areas of language study. In this volume, a selection of leading experts in various key areas of corpus construction offer advice in a readable and largely non-technical style to help the reader to ensure that their corpus is well designed and fit for the intended purpose. This guide is aimed at those who are at some stage of building a linguistic corpus. Little or no knowledge of corpus linguistics or computational procedures is assumed, although it is hoped that more advanced users will find the guidelines here useful. It is also aimed at those who are not building a corpus, but who need to know something about the issues involved in the design of corpora in order to choose between available resources and to help draw conclusions from their studies.
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 Corpus linguistics written by Stefanowitsch, Anatol and published by Language Science Press. This book was released on 2020 with total page 510 pages. Available in PDF, EPUB and Kindle. Book excerpt: Corpora are used widely in linguistics, but not always wisely. This book attempts to frame corpus linguistics systematically as a variant of the observational method. The first part introduces the reader to the general methodological discussions surrounding corpus data as well as the practice of doing corpus linguistics, including issues such as the scientific research cycle, research design, extraction of corpus data and statistical evaluation. The second part consists of a number of case studies from the main areas of corpus linguistics (lexical associations, morphology, grammar, text and metaphor), surveying the range of issues studied in corpus linguistics while at the same time showing how they fit into the methodology outlined in the first part.
Download or read book Humanities Data in R written by Taylor Arnold and published by Springer Nature. This book was released on with total page 287 pages. Available in PDF, EPUB and Kindle. Book excerpt:
