Visual Linguistics With R
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Visual Linguistics With R
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Author : Christoph Rühlemann
language : en
Publisher: John Benjamins Publishing Company
Release Date : 2020-07-15
Visual Linguistics With R written by Christoph Rühlemann and has been published by John Benjamins Publishing Company this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-15 with Language Arts & Disciplines categories.
This book is a textbook on R, a programming language and environment for statistical analysis and visualization. Its primary aim is to introduce R as a research instrument in quantitative Interactional Linguistics. Focusing on visualization in R, the book presents original case studies on conversational talk-in-interaction based on corpus data and explains in good detail how key graphs in the case studies were programmed in R. It also includes task sections to enable readers to conduct their own research and compute their own visualizations in R. Both the code underlying the key graphs in the case studies and the datasets used in the case studies as well as in the task sections are made available on the book’s companion website.
How To Do Linguistics With R
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Author : Natalia Levshina
language : en
Publisher: John Benjamins Publishing Company
Release Date : 2015-11-25
How To Do Linguistics With R written by Natalia Levshina and has been published by John Benjamins Publishing Company this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-11-25 with Language Arts & Disciplines categories.
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
Quantitative Corpus Linguistics With R
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Author : Stefan Th. Gries
language : en
Publisher: Routledge
Release Date : 2009-03-04
Quantitative Corpus Linguistics With R written by Stefan Th. Gries and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-03-04 with Education categories.
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
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Author : Stefan Th. Gries
language : en
Publisher: Walter de Gruyter
Release Date : 2013-03-22
Statistics For Linguistics With R written by Stefan Th. Gries and has been published by Walter de Gruyter this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-22 with Language Arts & Disciplines categories.
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.
Quantitative Corpus Linguistics With R
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Author : Stefan Gries
language : en
Publisher:
Release Date : 2009
Quantitative Corpus Linguistics With R written by Stefan Gries and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with R (Computer program language) categories.
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
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Author : Stefan Th. Gries
language : en
Publisher: Walter de Gruyter
Release Date : 2009-12-15
Statistics For Linguistics With R written by Stefan Th. Gries and has been published by Walter de Gruyter this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-12-15 with Language Arts & Disciplines categories.
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.
Visual Language Theory
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Author : Kim Marriott
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Visual Language Theory written by Kim Marriott and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.
A broad-ranging survey of our current understanding of visual languages and their theoretical foundations. Its main focus is the definition, specification, and structural analysis of visual languages by grammars, logic, and algebraic methods and the use of these techniques in visual language implementation. Researchers in formal language theory, HCI, artificial intelligence, and computational linguistics will all find this an invaluable guide to the current state of research in the field.
Essentials Of Visual Interpretation
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Author : Rachel R Reynolds
language : en
Publisher: Routledge
Release Date : 2020-12-29
Essentials Of Visual Interpretation written by Rachel R Reynolds and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-29 with Social Science categories.
Essentials of Visual Interpretation explains how to talk and write critically about visual media and to examine how evolving visual environments, media, and technologies affect human selfunderstanding and culture formation. Lively and accessibly written chapters provide a solid foundation in the tools and ideas of visual meaning, familiarizing readers with a growing, cross-cultural subfield, and preparing them to pursue thoughtful work in a variety of related disciplines. The authors include rich examples and illustrations—ranging from cave paintings to memes, from optical science to visual analytics, from ancient pictographs to smart phones—that engage students with the fascinating complexity of visual interpretation. Each chapter introduces students to key terms and concepts relevant to visual analysis, with ideas for short individual or group exercises to enhance understanding. The book is ideal as a primer in visual analysis and visual communication for students in courses within communication studies, cultural studies, digital humanities, semiotics, media studies, and visual anthropology. Online support materials include multimedia activities for students and links to additional resources for students and instructors.
Statistics For Linguists An Introduction Using R
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Author : Bodo Winter
language : en
Publisher: Routledge
Release Date : 2019-10-30
Statistics For Linguists An Introduction Using R written by Bodo Winter and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-30 with Education categories.
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.
Reading Images
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Author : Gunther R. Kress
language : en
Publisher: Psychology Press
Release Date : 1996
Reading Images written by Gunther R. Kress and has been published by Psychology Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with Design categories.
Reading Images provides the first systematic and comprehensive account of the grammar of visual design. By looking at the formal elements and structures of design the authors examine the ways in which images communicate meaning.