Corpus Linguistics and Statistics with R

Download Corpus Linguistics and Statistics with R PDF Online Free

Author :
Release : 2017-11-17
Genre : Computers
Kind :
Book Rating : 722/5 ( reviews)

Corpus Linguistics and Statistics with R - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Corpus Linguistics and Statistics with R write by Guillaume Desagulier. This book was released on 2017-11-17. Corpus Linguistics and Statistics with R available in PDF, EPUB and Kindle. 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

Download Quantitative Corpus Linguistics with R PDF Online Free

Author :
Release : 2009-03-04
Genre : Education
Kind :
Book Rating : 600/5 ( reviews)

Quantitative Corpus Linguistics with R - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Quantitative Corpus Linguistics with R write by Stefan Th. Gries. This book was released on 2009-03-04. Quantitative Corpus Linguistics with R available in PDF, EPUB and Kindle. 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

Download Statistics for Linguistics with R PDF Online Free

Author :
Release : 2009-12-15
Genre : Language Arts & Disciplines
Kind :
Book Rating : 043/5 ( reviews)

Statistics for Linguistics with R - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Statistics for Linguistics with R write by Stefan Th. Gries. This book was released on 2009-12-15. Statistics for Linguistics with R available in PDF, EPUB and Kindle. 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.

Statistics in Corpus Linguistics Research

Download Statistics in Corpus Linguistics Research PDF Online Free

Author :
Release : 2020-11-22
Genre : Computers
Kind :
Book Rating : 668/5 ( reviews)

Statistics in Corpus Linguistics Research - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Statistics in Corpus Linguistics Research write by Sean Wallis. This book was released on 2020-11-22. Statistics in Corpus Linguistics Research available in PDF, EPUB and Kindle. 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 in Corpus Linguistics

Download Statistics in Corpus Linguistics PDF Online Free

Author :
Release : 2018-09-20
Genre : Foreign Language Study
Kind :
Book Rating : 707/5 ( reviews)

Statistics in Corpus Linguistics - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Statistics in Corpus Linguistics write by Vaclav Brezina. This book was released on 2018-09-20. Statistics in Corpus Linguistics available in PDF, EPUB and Kindle. A comprehensive and accessible introduction to statistics in corpus linguistics, covering multiple techniques of quantitative language analysis and data visualisation.