Analyzing Linguistic Data Electronic Resource


Analyzing Linguistic Data Electronic Resource
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Analyzing Linguistic Data Electronic Resource


Analyzing Linguistic Data Electronic Resource
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Author : R. Harald Baayen
language : en
Publisher:
Release Date : 2008

Analyzing Linguistic Data Electronic Resource written by R. Harald Baayen and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with categories.




Analyzing Linguistic Data


Analyzing Linguistic Data
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Author : R. H. Baayen
language : en
Publisher: Cambridge University Press
Release Date : 2008-03-06

Analyzing Linguistic Data written by R. H. Baayen and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-03-06 with Language Arts & Disciplines categories.


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 : R. H. Baayen
language : en
Publisher:
Release Date : 2008

Analyzing Linguistic Data written by R. H. Baayen and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Computers categories.


Provides a straightforward introduction to the statistical analysis of language data. Introduces the basic principles and methods of statistical analysis using R.



Analyzing Linguistic Data


Analyzing Linguistic Data
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Author : Harald Baayen
language : en
Publisher:
Release Date : 2008

Analyzing Linguistic Data written by Harald Baayen and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Linguistics categories.


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



Introducing Electronic Text Analysis


Introducing Electronic Text Analysis
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Author : Svenja Adolphs
language : en
Publisher: Routledge
Release Date : 2006-09-27

Introducing Electronic Text Analysis written by Svenja Adolphs and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-09-27 with Language Arts & Disciplines categories.


Introducing Electronic Text Analysis is a practical and much needed introduction to corpora – bodies of linguistic data. Written specifically for students studying this topic for the first time, the book begins with a discussion of the underlying principles of electronic text analysis. It then examines how these corpora enhance our understanding of literary and non-literary works. In the first section the author introduces the concepts of concordance and lexical frequency, concepts which are then applied to a range of areas of language study. Key areas examined are the use of on-line corpora to complement traditional stylistic analysis, and the ways in which methods such as concordance and frequency counts can reveal a particular ideology within a text. Presenting an accessible and thorough understanding of the underlying principles of electronic text analysis, the book contains abundant illustrative examples and a glossary with definitions of main concepts. It will also be supported by a companion website with links to on-line corpora so that students can apply their knowledge to further study. The accompanying website to this book can be found at http://www.routledge.com/textbooks/0415320216



Analyzing Linguistic Data


Analyzing Linguistic Data
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Author : Rolf Harald Baayen
language : en
Publisher:
Release Date : 2008

Analyzing Linguistic Data written by Rolf Harald Baayen and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Computational linguistics categories.




The Open Handbook Of Linguistic Data Management


The Open Handbook Of Linguistic Data Management
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Author : Andrea L. Berez-Kroeker
language : en
Publisher: MIT Press
Release Date : 2022-01-18

The Open Handbook Of Linguistic Data Management written by Andrea L. Berez-Kroeker and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-18 with Language Arts & Disciplines categories.


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.



How To Do Linguistics With R


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 Data Analysis For Language Assessment Volume I


Quantitative Data Analysis For Language Assessment Volume I
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Author : Vahid Aryadoust
language : en
Publisher: Routledge
Release Date : 2019-03-27

Quantitative Data Analysis For Language Assessment Volume I written by Vahid Aryadoust and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-27 with Education categories.


Quantitative Data Analysis for Language Assessment Volume I: Fundamental Techniques is a resource book that presents the most fundamental techniques of quantitative data analysis in the field of language assessment. Each chapter provides an accessible explanation of the selected technique, a review of language assessment studies that have used the technique, and finally, an example of an authentic study that uses the technique. Readers also get a taste of how to apply each technique through the help of supplementary online resources that include sample data sets and guided instructions. Language assessment students, test designers, and researchers should find this a unique reference as it consolidates theory and application of quantitative data analysis in language assessment.



Data Visualization And Analysis In Second Language Research


Data Visualization And Analysis In Second Language Research
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Author : Guilherme D. Garcia
language : en
Publisher: Taylor & Francis
Release Date : 2021-05-30

Data Visualization And Analysis In Second Language Research written by Guilherme D. Garcia and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-30 with Business & Economics categories.


This introduction to visualization techniques and statistical models for second language research focuses on three types of data (continuous, binary, and scalar), helping readers to understand regression models fully and to apply them in their work. Garcia offers advanced coverage of Bayesian analysis, simulated data, exercises, implementable script code, and practical guidance on the latest R software packages. The book, also demonstrating the benefits to the L2 field of this type of statistical work, is a resource for graduate students and researchers in second language acquisition, applied linguistics, and corpus linguistics who are interested in quantitative data analysis.