Analyzing Linguistic Data

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

Analyzing Linguistic Data

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


Analyzing Linguistic Data

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.


Analyzing Linguistic Data

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.


Analyzing Linguistic Data

Analyzing Linguistic Data

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


The Open Handbook of Linguistic Data Management

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 [electronic Resource].

Analyzing Linguistic Data [electronic Resource].

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  • Author: R. Harald Baayen
  • Publisher:
  • ISBN: 9780511574252
  • Category :
  • Languages : en
  • Pages : 353


Statistics for Linguistics with R

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.


How Students Write: A Linguistic Analysis

How Students Write: A Linguistic Analysis

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  • Author: Laura Louise Aull
  • Publisher: Modern Language Association
  • ISBN: 1603294538
  • Category : Language Arts & Disciplines
  • Languages : en
  • Pages : 168

Broad generalizations about "people today" are a familiar feature of first-year student writing. How Students Write brings a fresh perspective to this perennial observation, using corpus linguistics techniques. This study analyzes sentence-level patterns in student writing to develop an understanding of how students present evidence, draw connections between ideas, relate to their readers, and, ultimately, learn to construct knowledge in their writing. Drawing on both first-year and upper-level student writing, the book examines the discourse of students at different points in their education. It also distinguishes between argumentative and analytic essays to explore the way school genres and assignments shape students' choices. In focusing on sentence-level features such as hedges ("perhaps") and boosters ("definitely"), this study shows how such rhetorical choices work together to open or close opportunities for thoughtful exchanges of ideas. Attention to these features can help instructors foster civil discourse, design effective assignments, and expose and question norms of higher education.


How to do Linguistics with R

How to do Linguistics with R

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  • Author: Natalia Levshina
  • Publisher: John Benjamins Publishing Company
  • ISBN: 9027268452
  • Category : Language Arts & Disciplines
  • Languages : en
  • Pages : 456

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