analyzing linguistic data a practical introduction to statistics using r

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Analyzing Linguistic Data

Author : R. H. Baayen
ISBN : 9781139470735
Genre : Language Arts & Disciplines
File Size : 57. 24 MB
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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.

Analyzing Linguistic Data

Author : Harald Baayen
ISBN : 0511386303
Genre : Linguistics
File Size : 49. 31 MB
Format : PDF
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A straightforward introduction to the statistical analysis of language data, designed for students with a non-mathematical background.

Analyzing Linguistic Data Electronic Resource

Author : R. Harald Baayen
ISBN : 0511574258
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File Size : 30. 1 MB
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Statistics For Linguistics With R

Author : Stefan Th. Gries
ISBN : 9783110307474
Genre : Language Arts & Disciplines
File Size : 56. 92 MB
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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 Methods In Linguistics

Author : Keith Johnson
ISBN : 9781444360431
Genre : Language Arts & Disciplines
File Size : 75. 47 MB
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Quantitative Methods in Linguistics offers a practical introduction to statistics and quantitative analysis with data sets drawn from the field and coverage of phonetics, psycholinguistics, sociolinguistics, historical linguistics, and syntax, as well as probability distribution and quantitative methods. Provides balanced treatment of the practical aspects of handling quantitative linguistic data Includes sample datasets contributed by researchers working in a variety of sub-disciplines of linguistics Uses R, the statistical software package most commonly used by linguists, to discover patterns in quantitative data and to test linguistic hypotheses Includes student-friendly end-of-chapter assignments and is accompanied by online resources at available in the 'Downloads' section, below

Quantitative Corpus Linguistics With R

Author : Stefan Th. Gries
ISBN : 9781135895594
Genre : Education
File Size : 80. 45 MB
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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.

How To Do Linguistics With R

Author : Natalia Levshina
ISBN : 9789027268457
Genre : Language Arts & Disciplines
File Size : 39. 42 MB
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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

Statistics For Corpus Linguistics

Author : Michael P. Oakes
ISBN : 0748608176
Genre : Language Arts & Disciplines
File Size : 78. 21 MB
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Statistical techniques and corpus applications - whether oriented towards linguistics or language engineering - often go hand in glove, as Oakes demonstrates in this introduction to the subject which is designed for the use of non-mathematicians.

Statistics For Linguists

Author : David Eddington
ISBN : 9781443887762
Genre : Language Arts & Disciplines
File Size : 29. 44 MB
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Linguists with no background in statistics will find this book to be an accessible introduction to statistics. Concepts are explained in non-technical terms, and mathematical formulas are kept to a minimum. The book incorporates SPSS, which is a statistics package that incorporates a point and click interface rather than complex line-commands. Step-by-step instructions are provided for some of the most widely used statistics in linguistics. At the same time, the concepts behind each procedure are also explained. Traditional analyses such as ANOVA and t-tests are included in the book, but linguistic data is often not amenable to such analyses. For this reason, non-parametric and mixed-effects procedures are also introduced.

Quantitative Research In Linguistics

Author : Sebastian M. Rasinger
ISBN : 9781472566966
Genre : Language Arts & Disciplines
File Size : 65. 48 MB
Format : PDF, ePub
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Presents a comprehensive introduction to analysing quantitative linguistic data. Starting with an definition of quantitative data, and how it differs from qualitative data, Seb Rasinger examines what the student linguist is trying to find out through analysing data, and how quantitative techniques can help arrive at meaningful and accurate conclusions. This expanded, 2nd edition now also includes a discussion of Analysis of Variance (ANOVA) and MANOVA, and provides a brief introduction to statistical meta-analysis. A companion website allows readers to download crib sheets and Excel templates for the main statistical tools. The book introduces: -using statistics -variables -reliability of data -describing data -analysing data -testing hypotheses -dealing with problematic data. Each chapter includes graphs and figures explaining theory through worked examples, chapter summaries, and exercises to aid student understanding. An appendix containing a summary of statistical formulae, excel commands and statistical tables is included and is an invaluable resource. Presenting a down-to-earth and readable introduction to quantitative research, this book is a useful how-to guide for students encountering quantitative data for the first time, or for postgraduates embarking on linguistic research projects.

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