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Regression Modeling For Linguistic Data


Regression Modeling For Linguistic Data
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Regression Modeling For Linguistic Data


Regression Modeling For Linguistic Data
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Author : Morgan Sonderegger
language : en
Publisher:
Release Date : 2023

Regression Modeling For Linguistic Data written by Morgan Sonderegger and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023 with Linguistics categories.


"A graduate-level methodology textbook on statistical analysis of linguistic data. Appropriate for a variety of courses in linguistics and cognitive science"--



Regression Modeling For Linguistic Data


Regression Modeling For Linguistic Data
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Author : Morgan Sonderegger
language : en
Publisher: MIT Press
Release Date : 2023-06-06

Regression Modeling For Linguistic Data written by Morgan Sonderegger and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-06 with Science categories.


The first comprehensive textbook on regression modeling for linguistic data offers an incisive conceptual overview along with worked examples that teach practical skills for realistic data analysis. In the first comprehensive textbook on regression modeling for linguistic data in a frequentist framework, Morgan Sonderegger provides graduate students and researchers with an incisive conceptual overview along with worked examples that teach practical skills for realistic data analysis. The book features extensive treatment of mixed-effects regression models, the most widely used statistical method for analyzing linguistic data. Sonderegger begins with preliminaries to regression modeling: assumptions, inferential statistics, hypothesis testing, power, and other errors. He then covers regression models for non-clustered data: linear regression, model selection and validation, logistic regression, and applied topics such as contrast coding and nonlinear effects. The last three chapters discuss regression models for clustered data: linear and logistic mixed-effects models as well as model predictions, convergence, and model selection. The book’s focused scope and practical emphasis will equip readers to implement these methods and understand how they are used in current work. The only advanced discussion of modeling for linguists Uses R throughout, in practical examples using real datasets Extensive treatment of mixed-effects regression models Contains detailed, clear guidance on reporting models Equal emphasis on observational data and data from controlled experiments Suitable for graduate students and researchers with computational interests across linguistics and cognitive science



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.



The Making And Breaking Of Classification Models In Linguistics


The Making And Breaking Of Classification Models In Linguistics
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Author : Jane Klavan
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2024-06-04

The Making And Breaking Of Classification Models In Linguistics written by Jane Klavan and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-04 with Language Arts & Disciplines categories.


The book provides a methodological blueprint for the study of constructional alternations – using corpus-linguistic methods in combination with different types of experimental data. The book looks at a case study from Estonian. This morphologically rich language is typologically different from Indo-European languages such as English. Corpus-based studies allow us to detect patterns in the data and determine what is typical in the language. Experiments are needed to determine the upper and lower limits of human classification behaviour. They give us an idea of what is possible in a language and show how human classification behaviour is susceptible to more variation than corpus-based models lead us to believe. Corpora and forced choice data tell us that when we produce language, we prefer one construction. Acceptability judgement data tell us that when we comprehend language, we judge both constructions as acceptable. The book makes a theoretical contribution to the what, why, and how of constructional alternations.



The Handbook Of Dialectology


The Handbook Of Dialectology
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Author : Charles Boberg
language : en
Publisher: John Wiley & Sons
Release Date : 2018-01-04

The Handbook Of Dialectology written by Charles Boberg and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-01-04 with Language Arts & Disciplines categories.


The Handbook of Dialectology provides an authoritative, up-to-date and unusually broad account of the study of dialect, in one volume. Each chapter reviews essential research, and offers a critical discussion of the past, present and future development of the area. The volume is based on state-of-the-art research in dialectology around the world, providing the most current work available with an unusually broad scope of topics Provides a practical guide to the many methodological and statistical issues surrounding the collection and analysis of dialect data Offers summaries of dialect variation in the world's most widely spoken and commonly studied languages, including several non-European languages that have traditionally received less attention in general discussions of dialectology Reviews the intellectual development of the field, including its main theoretical schools of thought and research traditions, both academic and applied The editors are well known and highly respected, with a deep knowledge of this vast field of inquiry



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.



Handbook Of Pragmatics


Handbook Of Pragmatics
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Author : Jan-Ola Östman
language : en
Publisher: John Benjamins Publishing Company
Release Date : 2022-04-15

Handbook Of Pragmatics written by Jan-Ola Östman 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 2022-04-15 with Language Arts & Disciplines categories.


This encyclopaedia of one of the major fields of language studies is a continuously updated source of state-of-the-art information for anyone interested in language use. The IPrA Handbook of Pragmatics provides easy access – for scholars with widely divergent backgrounds but with convergent interests in the use and functioning of language – to the different topics, traditions and methods which together make up the field of pragmatics, broadly conceived as the cognitive, social and cultural study of language and communication, i.e. the science of language use. The Handbook of Pragmatics is a unique reference work for researchers, which has been expanded and updated continuously with annual installments since 1995. Also available as Online Resource: https://benjamins.com/online/hop



Statistics For Linguistics With R


Statistics For Linguistics With R
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Author : Stefan Th. Gries
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2021-05-10

Statistics For Linguistics With R written by Stefan Th. Gries and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-10 with Language Arts & Disciplines categories.


This is the third, newly revised and extended edition of this successful book (that has already been translated into three languages). Like the previous editions, it is entirely based on the programming language and environment R and is still thoroughly hands-on (with thousands of lines of heavily annotated code for all computations and plots). However, this edition has been updated based on many workshops/bootcamps taught by the author all over the world for the past few years: This edition has been didactically streamlined with regard to its exposition, it adds two new chapters – one on mixed-effects modeling, one on classification and regression trees as well as random forests – plus it features new discussion of curvature, orthogonal and other contrasts, interactions, collinearity, the effects and emmeans packages, autocorrelation/runs, some more bits on programming, writing statistical functions, and simulations, and many practical tips based on 10 years of teaching with these materials.



Cognitive Linguistics The Quantitative Turn


Cognitive Linguistics The Quantitative Turn
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Author : Laura A. Janda
language : en
Publisher: Walter de Gruyter
Release Date : 2013-07-31

Cognitive Linguistics The Quantitative Turn written by Laura A. Janda and has been published by Walter de Gruyter this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-07-31 with Language Arts & Disciplines categories.


Designed to serve as a textbook for courses in statistical analysis in linguistics, this book orients the reader to various quantitative methods and explains their implications for the field. The methods include chi-square, Fisher test, binomial test, ANOVA, correlation, regression, and cluster analysis. The advantages and limitations of each method are detailed and each method is illustrated with exemplary articles presenting linguistic data.



Data Analytics In Cognitive Linguistics


Data Analytics In Cognitive Linguistics
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Author : Dennis Tay
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2022-05-09

Data Analytics In Cognitive Linguistics written by Dennis Tay and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-09 with Language Arts & Disciplines categories.


Contemporary data analytics involves extracting insights from data and translating them into action. With its turn towards empirical methods and convergent data sources, cognitive linguistics is a fertile context for data analytics. There are key differences between data analytics and statistical analysis as typically conceived. Though the former requires the latter, it emphasizes the role of domain-specific knowledge. Statistical analysis also tends to be associated with preconceived hypotheses and controlled data. Data analytics, on the other hand, can help explore unstructured datasets and inspire emergent questions. This volume addresses two key aspects in data analytics for cognitive linguistic work. Firstly, it elaborates the bottom-up guiding role of data analytics in the research trajectory, and how it helps to formulate and refine questions. Secondly, it shows how data analytics can suggest concrete courses of research-based action, which is crucial for cognitive linguistics to be truly applied. The papers in this volume impart various data analytic methods and report empirical studies across different areas of research and application. They aim to benefit new and experienced researchers alike.