Statistics For Linguistics With R

Author: Stefan Th. Gries
Publisher: Walter de Gruyter
ISBN: 3110307472
Size: 77.12 MB
Format: PDF, ePub, Mobi
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Statistics For Linguistics With R from the Author: Stefan Th. Gries. 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

Author: Stefan Th. Gries
Publisher: Routledge
ISBN: 1135895597
Size: 76.46 MB
Format: PDF, ePub, Docs
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Quantitative Corpus Linguistics With R from the Author: Stefan Th. Gries. 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.

Analyzing Linguistic Data

Author: R. H. Baayen
Publisher: Cambridge University Press
ISBN: 1139470736
Size: 27.54 MB
Format: PDF, Mobi
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Analyzing Linguistic Data from the Author: R. H. Baayen. 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.

Quantitative Corpus Linguistics With R

Author: Stefan Th. Gries
Publisher: Routledge
ISBN: 1317597656
Size: 62.93 MB
Format: PDF, ePub, Mobi
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Quantitative Corpus Linguistics With R from the Author: Stefan Th. Gries. As in its first edition, the new edition of Quantitative Corpus Linguistics with R demonstrates how to process corpus-linguistic data with the open-source programming language and environment R. Geared in general towards linguists working with observational data, and particularly corpus linguists, it introduces R programming with emphasis on: data processing and manipulation in general; text processing with and without regular expressions of large bodies of textual and/or literary data, and; basic aspects of statistical analysis and visualization. This book is extremely hands-on and leads the reader through dozens of small applications as well as larger case studies. Along with an array of exercise boxes and separate answer keys, the text features a didactic sequential approach in case studies by way of subsections that zoom in to every programming problem. The companion website to the book contains all relevant R code (amounting to approximately 7,000 lines of heavily commented code), most of the data sets as well as pointers to others, and a dedicated Google newsgroup. This new edition is ideal for both researchers in corpus linguistics and instructors who want to promote hands-on approaches to data in corpus linguistics courses.

Quantitative Research Methods In Translation And Interpreting Studies

Author: Christopher D. Mellinger
Publisher: Taylor & Francis
ISBN: 131729923X
Size: 61.79 MB
Format: PDF, Mobi
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Quantitative Research Methods In Translation And Interpreting Studies from the Author: Christopher D. Mellinger. Quantitative Research Methods in Translation and Interpreting Studies encompasses all stages of the research process that include quantitative research methods, from conceptualization to reporting. In five parts, the authors cover: • sampling techniques, measurement, and survey design; • how to describe data; • how to analyze differences; • how to analyze relationships; • how to interpret results. Each part includes references to additional resources and extensive examples from published empirical work. A quick reference table for specific tests is also included in the appendix. This user-friendly guide is the essential primer on quantitative methods for all students and researchers in translation and interpreting studies. Accompanying materials are available online, including step-by-step walkthroughs of how analysis was conducted, and extra sample data sets for instruction and self study: https://www.routledge.com/9781138124967. Further resources for Translation and Interpreting Studies are available on the Routledge Translation Studies Portal: http://cw.routledge.com/textbooks/translationstudies.

Quantitative Methods In Linguistics

Author: Keith Johnson
Publisher: John Wiley & Sons
ISBN: 1444360434
Size: 61.23 MB
Format: PDF, ePub
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Quantitative Methods In Linguistics from the Author: Keith Johnson. 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 www.blackwellpublishing.com/quantmethods.

Quantitative Research In Linguistics

Author: Sebastian M. Rasinger
Publisher: A&C Black
ISBN: 1472566963
Size: 61.25 MB
Format: PDF
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Quantitative Research In Linguistics from the Author: Sebastian M. Rasinger. 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.

Qualitative Research In Applied Linguistics

Author: J. Heigham
Publisher: Springer
ISBN: 023023951X
Size: 24.41 MB
Format: PDF, ePub, Mobi
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Qualitative Research In Applied Linguistics from the Author: J. Heigham. Written in a clear, informal style for graduate students and practicing teachers embarking on their first qualitative research study in applied linguistics, leading authors introduce the principal research approaches and data creation methods to offer novice researchers an easy-to-follow and straightforward guide to qualitative inquiry.

Automatic Treatment And Analysis Of Learner Corpus Data

Author: Ana Díaz-Negrillo
Publisher: John Benjamins Publishing Company
ISBN: 9027270953
Size: 73.45 MB
Format: PDF, Kindle
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Automatic Treatment And Analysis Of Learner Corpus Data from the Author: Ana Díaz-Negrillo. This book is a critical appraisal of recent developments in corpus linguistics for the analysis of written and spoken learner data. The twelve papers cover an introductory critical appraisal of learner corpus data compilation and development (section 1); issues in data compilation, annotation and exchangeability (section 2); automatic approaches to data identification and analysis (section 3); and analysis of learner corpus data in the light of recent models of data analysis and interpretation, especially recent automatic approaches for the identification of learner language features (section 4). This collection is aimed at students and researchers of corpus linguistics, second language acquisition studies and quantitative linguistics. It will significantly advance learner corpus research in terms of methodological innovation and will fill in an important gap in the development of multidisciplinary approaches (for learner corpus studies).

The Handbook Of Linguistics

Author: Mark Aronoff
Publisher: John Wiley & Sons
ISBN: 1119072271
Size: 72.68 MB
Format: PDF
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The Handbook Of Linguistics from the Author: Mark Aronoff. This second edition of The Handbook of Linguistics provides an updated and timely overview of the field of linguistics. The editor’s broad definition of the field ensures that the book may be read by those seeking a comprehensive introduction to the subject, but with little or no prior knowledge of the area. Building on the popular first edition, this new edition features new and revised content reflecting advances within the discipline. New chapters expand the already broad coverage of the Handbook to address and take account of key changes within the field in the intervening years. It explores: psycholinguistics, linguistic anthropology and ethnolinguistics, sociolinguistic theory, language variation and second language pedagogy. With contributions from a global team of leading linguists, this comprehensive and accessible volume is the ideal resource for those engaged in study and work within the dynamic field of linguistics.