Analyzing Linguistic Data

2008-03-06
Analyzing Linguistic Data

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  • Author: R. H. Baayen
  • Publisher: Cambridge University Press
  • ISBN: 1139470736
  • Category : Language Arts & Disciplines
  • Languages : en
  • Pages : 40

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

2007
Analyzing Linguistic Data

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  • Author: Harald Baayen
  • Publisher:
  • ISBN: 9781316099667
  • Category :
  • Languages : en
  • Pages :

Analyzing Linguistic Data

2008
Analyzing Linguistic Data

PDF Analyzing Linguistic Data Download

  • Author: R. Harald Baayen
  • Publisher:
  • ISBN: 9780511649622
  • Category : Computational linguistics
  • Languages : en
  • Pages : 0

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

2008
Analyzing Linguistic Data

PDF Analyzing Linguistic Data Download

  • Author: R. Harald Baayen
  • Publisher:
  • ISBN: 9780521882590
  • Category : Language Arts & Disciplines
  • Languages : en
  • Pages : 353

A straightforward introduction to the statistical analysis of language data, designed for students with a non-mathematical background.

The Open Handbook of Linguistic Data Management

2022-01-18
The Open Handbook of Linguistic Data Management

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  • Author: Andrea L. Berez-Kroeker
  • Publisher: MIT Press
  • ISBN: 0262045265
  • Category : Language Arts & Disciplines
  • Languages : en
  • Pages : 687

A guide to principles and methods for the management, archiving, sharing, and citing of linguistic research data, especially digital data. "Doing language science" depends on collecting, transcribing, annotating, analyzing, storing, and sharing linguistic research data. This volume offers a guide to linguistic data management, engaging with current trends toward the transformation of linguistics into a more data-driven and reproducible scientific endeavor. It offers both principles and methods, presenting the conceptual foundations of linguistic data management and a series of case studies, each of which demonstrates a concrete application of abstract principles in a current practice. In part 1, contributors bring together knowledge from information science, archiving, and data stewardship relevant to linguistic data management. Topics covered include implementation principles, archiving data, finding and using datasets, and the valuation of time and effort involved in data management. Part 2 presents snapshots of practices across various subfields, with each chapter presenting a unique data management project with generalizable guidance for researchers. The Open Handbook of Linguistic Data Management is an essential addition to the toolkit of every linguist, guiding researchers toward making their data FAIR: Findable, Accessible, Interoperable, and Reusable.

Analyzing Linguistic Data

2008
Analyzing Linguistic Data

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  • Author: Harald Baayen
  • Publisher:
  • ISBN: 9780511386305
  • Category : Linguistics
  • Languages : en
  • Pages : 369

A straightforward introduction to the statistical analysis of language data, designed for students with a non-mathematical background.

Statistics for Linguistics with R

2009-12-15
Statistics for Linguistics with R

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  • Author: Stefan Th. Gries
  • Publisher: Walter de Gruyter
  • ISBN: 3110216043
  • Category : Language Arts & Disciplines
  • Languages : en
  • Pages : 346

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.

Analyzing Linguistic Data

2008
Analyzing Linguistic Data

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  • Author: Rolf Harald Baayen
  • Publisher:
  • ISBN: 9780511649622
  • Category : Computational linguistics
  • Languages : en
  • Pages : 353

Handbook of Language Analysis in Psychology

2022-03-02
Handbook of Language Analysis in Psychology

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  • Author: Morteza Dehghani
  • Publisher: Guilford Publications
  • ISBN: 1462548431
  • Category : Social Science
  • Languages : en
  • Pages : 650

Recent years have seen an explosion of interest in the use of computerized text analysis methods to address basic psychological questions. This comprehensive handbook brings together leading language analysis scholars to present foundational concepts and methods for investigating human thought, feeling, and behavior using language. Contributors work toward integrating psychological science and theory with natural language processing (NLP) and machine learning. Ethical issues in working with natural language data sets are discussed in depth. The volume showcases NLP-driven techniques and applications in areas including interpersonal relationships, personality, morality, deception, social biases, political psychology, psychopathology, and public health.

Analysing Sociolinguistic Variation

2006-05-11
Analysing Sociolinguistic Variation

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  • Author: Sali A. Tagliamonte
  • Publisher: Cambridge University Press
  • ISBN: 1139451324
  • Category : Language Arts & Disciplines
  • Languages : en
  • Pages : 263

The study of how language varies in social context, and how it can be analyzed and accounted for, are the key goals of sociolinguistics. Until now, however, the actual tools and methods have been largely passed on through 'word of mouth', rather than being formally documented. This is the first comprehensive 'how to' guide to the formal analysis of sociolinguistic variation. It shows step-by-step how the analysis is carried out, leading the reader through every stage of a research project from start to finish. Topics covered include fieldwork, data organization and management, analysis and interpretation, presenting research results, and writing up a paper. Practical and informal, the book contains all the information needed to conduct a fully-fledged sociolinguistic investigation, and includes exercises, checklists, references and insider tips. It is set to become an essential resource for students, researchers and fieldworkers embarking on research projects in sociolinguistics.