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 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 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 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 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 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 Corpus Linguistics written by Tony McEnery and published by Cambridge University Press. This book was released on 2011-10-06 with total page 311 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Statistics in Language Research written by Toni Rietveld and published by Walter de Gruyter. This book was released on 2010-12-14 with total page 277 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistics in Language Research gives a non-technical but more or less complete treatment of Analysis of Variance (ANOVA) for language researchers. ANOVA is the most frequently used technique when handling the outcomes of research designs with more than two treatments or groups. This technique is used in all parts of linguistics which deal with observations obtained in survey studies and in (quasi-)experimental research, like applied linguistics, psycholinguistics, sociolinguistics, language and speech pathology and phonetics. Most statistical textbooks in the social sciences take examples typical of their own field and, in addition, omit subjects which are particularly relevant for language researchers, like power analysis, quasi F, F1, F2 and minF'. This book offers a thorough introduction to the basic principles of analysis of variance, based on examples taken from language research, and goes beyond the conventional topics treated in introductory textbooks, as it covers topics like 'violations of assumptions', 'missing data', 'problems in repeated measures designs', 'alternatives to analysis of variance' (such as randomization tests and multilevel analysis). Each chapter consists of four sections: treatment of the subject under discussion, a summary of relevant terms and concepts, a section devoted to reporting statistics, and finally an exercise section. After the first introductory chapter, in which fundamental concepts like 'variables', 'cases' and SPSS data formats are presented, the book continues with two 'refreshment' chapters, in which the principles of statistical testing are revised, focusing on the well-known t test. These chapters also deal with the essential, but often neglected concepts of 'statistical power' and 'sample size'. In every chapter examples of SPSS input and output are given.
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 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 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 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 Linguistics for Vocabulary written by Paweł Szudarski and published by Routledge. This book was released on 2017-09-25 with total page 393 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 Corpus Linguistics for Education written by Pascual Pérez-Paredes and published by Routledge. This book was released on 2020-07-30 with total page 179 pages. Available in PDF, EPUB and Kindle. Book excerpt: Corpus Linguistics for Education provides a practical and comprehensive introduction to the use of corpus research-methods in the field of education. Taking a hands-on approach to showcase the applications of corpora in the exploration of educationally relevant topics, this book: • covers 18 key skills including corpus building, the role of frequency, different corpus methods, transcription and annotation; • demonstrates the use of available corpora and desktop and online corpus analysis tools to conduct original analyses; • features case studies and step-by-step guides within each chapter; • emphasises the use of interview data in research projects. Corpus Linguistics for Education is an essential guide for students and researchers studying or conducting their own corpus-based research in education.
Download or read book The Cambridge Handbook of Learner Corpus Research written by Sylviane Granger and published by Cambridge University Press. This book was released on 2015-10-01 with total page 1199 pages. Available in PDF, EPUB and Kindle. Book excerpt: The origins of learner corpus research go back to the late 1980s when large electronic collections of written or spoken data started to be collected from foreign/second language learners, with a view to advancing our understanding of the mechanisms of second language acquisition and developing tailor-made pedagogical tools. Engaging with the interdisciplinary nature of this fast-growing field, The Cambridge Handbook of Learner Corpus Research explores the diverse and extensive applications of learner corpora, with 27 chapters written by internationally renowned experts. This comprehensive work is a vital resource for students, teachers and researchers, offering fresh perspectives and a unique overview of the field. With representative studies in each chapter which provide an essential guide on how to conduct learner corpus research in a wide range of areas, this work is a cutting-edge account of learner corpus collection, annotation, methodology, theory, analysis and applications.
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 Statistical Methods in Language and Linguistic Research written by Pascual Cantos Gómez and published by Equinox Publishing (Indonesia). This book was released on 2013-01-01 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: The linguistic community tend to regard statistical methods, or more generally quantitative techniques, with a certain amount of fear and suspicion. There is a feeling that statistics falls in the province of science and mathematics and such methods may destroy the magic of the literary text. This book seeks to make quantitative methods and statistical techniques less forbidding and show how they can contribute to linguistic analysis and research. It present some mathematical and statistical properties of natural languages and introduces some of the quantitative methods which are of the most value in working empirically with texts and corpora. The various issues are illustrated with helpful examples from the most basic descriptive techniques to decision-taking techniques and to more sophisticated multivariate statistical language models.
