Regression Modeling For Linguistic Data

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Regression Modeling for Linguistic Data

Author : Morgan Sonderegger
Publisher : MIT Press
ISBN 13 : 0262362465
Total Pages : 455 pages
Book Rating : 4.2/5 (623 download)

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Book Synopsis Regression Modeling for Linguistic Data by : Morgan Sonderegger

Download or read book Regression Modeling for Linguistic Data written by Morgan Sonderegger and published by MIT Press. This book was released on 2023-06-06 with total page 455 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Mixed-Effects Regression Models in Linguistics

Author : Dirk Speelman
Publisher : Springer
ISBN 13 : 3319698303
Total Pages : 146 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Mixed-Effects Regression Models in Linguistics by : Dirk Speelman

Download or read book Mixed-Effects Regression Models in Linguistics written by Dirk Speelman and published by Springer. This book was released on 2018-02-07 with total page 146 pages. Available in PDF, EPUB and Kindle. Book excerpt: When data consist of grouped observations or clusters, and there is a risk that measurements within the same group are not independent, group-specific random effects can be added to a regression model in order to account for such within-group associations. Regression models that contain such group-specific random effects are called mixed-effects regression models, or simply mixed models. Mixed models are a versatile tool that can handle both balanced and unbalanced datasets and that can also be applied when several layers of grouping are present in the data; these layers can either be nested or crossed. In linguistics, as in many other fields, the use of mixed models has gained ground rapidly over the last decade. This methodological evolution enables us to build more sophisticated and arguably more realistic models, but, due to its technical complexity, also introduces new challenges. This volume brings together a number of promising new evolutions in the use of mixed models in linguistics, but also addresses a number of common complications, misunderstandings, and pitfalls. Topics that are covered include the use of huge datasets, dealing with non-linear relations, issues of cross-validation, and issues of model selection and complex random structures. The volume features examples from various subfields in linguistics. The book also provides R code for a wide range of analyses.

Analyzing Linguistic Data

Author : R. H. Baayen
Publisher : Cambridge University Press
ISBN 13 : 1139470736
Total Pages : 40 pages
Book Rating : 4.1/5 (394 download)

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Book Synopsis Analyzing Linguistic Data by : R. H. Baayen

Download or read book Analyzing Linguistic Data written by R. H. Baayen and published by Cambridge University Press. This book was released on 2008-03-06 with total page 40 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

How to do Linguistics with R

Author : Natalia Levshina
Publisher : John Benjamins Publishing Company
ISBN 13 : 9027268452
Total Pages : 456 pages
Book Rating : 4.0/5 (272 download)

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Book Synopsis How to do Linguistics with R by : Natalia Levshina

Download or read book How to do Linguistics with R written by Natalia Levshina and published by John Benjamins Publishing Company. This book was released on 2015-11-25 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

The Handbook of Dialectology

Author : Charles Boberg
Publisher : John Wiley & Sons
ISBN 13 : 1118827554
Total Pages : 616 pages
Book Rating : 4.1/5 (188 download)

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Book Synopsis The Handbook of Dialectology by : Charles Boberg

Download or read book The Handbook of Dialectology written by Charles Boberg and published by John Wiley & Sons. This book was released on 2018-01-04 with total page 616 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Statistics for Linguistics with R

Author : Stefan Th. Gries
Publisher : Walter de Gruyter
ISBN 13 : 3110216043
Total Pages : 346 pages
Book Rating : 4.1/5 (12 download)

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Book Synopsis Statistics for Linguistics with R by : Stefan Th. Gries

Download or read book Statistics for Linguistics with R written by Stefan Th. Gries and published by Walter de Gruyter. This book was released on 2009-12-15 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Classification and Modeling with Linguistic Information Granules

Author : Hisao Ishibuchi
Publisher : Springer Science & Business Media
ISBN 13 : 3540268758
Total Pages : 308 pages
Book Rating : 4.5/5 (42 download)

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Book Synopsis Classification and Modeling with Linguistic Information Granules by : Hisao Ishibuchi

Download or read book Classification and Modeling with Linguistic Information Granules written by Hisao Ishibuchi and published by Springer Science & Business Media. This book was released on 2006-02-27 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many approaches have already been proposed for classification and modeling in the literature. These approaches are usually based on mathematical mod els. Computer systems can easily handle mathematical models even when they are complicated and nonlinear (e.g., neural networks). On the other hand, it is not always easy for human users to intuitively understand mathe matical models even when they are simple and linear. This is because human information processing is based mainly on linguistic knowledge while com puter systems are designed to handle symbolic and numerical information. A large part of our daily communication is based on words. We learn from various media such as books, newspapers, magazines, TV, and the Inter net through words. We also communicate with others through words. While words play a central role in human information processing, linguistic models are not often used in the fields of classification and modeling. If there is no goal other than the maximization of accuracy in classification and model ing, mathematical models may always be preferred to linguistic models. On the other hand, linguistic models may be chosen if emphasis is placed on interpretability.

Mixed-effects Regression Models in Linguistics

Author : Dirk Speelman
Publisher :
ISBN 13 : 9783319698298
Total Pages : 146 pages
Book Rating : 4.6/5 (982 download)

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Book Synopsis Mixed-effects Regression Models in Linguistics by : Dirk Speelman

Download or read book Mixed-effects Regression Models in Linguistics written by Dirk Speelman and published by . This book was released on 2018 with total page 146 pages. Available in PDF, EPUB and Kindle. Book excerpt: When data consist of grouped observations or clusters, and there is a risk that measurements within the same group are not independent, group-specific random effects can be added to a regression model in order to account for such within-group associations. Regression models that contain such group-specific random effects are called mixed-effects regression models, or simply mixed models. Mixed models are a versatile tool that can handle both balanced and unbalanced datasets and that can also be applied when several layers of grouping are present in the data; these layers can either be nested or crossed. In linguistics, as in many other fields, the use of mixed models has gained ground rapidly over the last decade. This methodological evolution enables us to build more sophisticated and arguably more realistic models, but, due to its technical complexity, also introduces new challenges. This volume brings together a number of promising new evolutions in the use of mixed models in linguistics, but also addresses a number of common complications, misunderstandings, and pitfalls. Topics that are covered include the use of huge datasets, dealing with non-linear relations, issues of cross-validation, and issues of model selection and complex random structures. The volume features examples from various subfields in linguistics. The book also provides R code for a wide range of analyses.

Statistics for Linguists: An Introduction Using R

Author : Bodo Winter
Publisher : Routledge
ISBN 13 : 1351677438
Total Pages : 310 pages
Book Rating : 4.3/5 (516 download)

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Book Synopsis Statistics for Linguists: An Introduction Using R by : Bodo Winter

Download or read book Statistics for Linguists: An Introduction Using R written by Bodo Winter and published by Routledge. This book was released on 2019-10-30 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistics for Linguists: An Introduction Using R is the first statistics textbook on linear models for linguistics. The book covers simple uses of linear models through generalized models to more advanced approaches, maintaining its focus on conceptual issues and avoiding excessive mathematical details. It contains many applied examples using the R statistical programming environment. Written in an accessible tone and style, this text is the ideal main resource for graduate and advanced undergraduate students of Linguistics statistics courses as well as those in other fields, including Psychology, Cognitive Science, and Data Science.

Analyzing Linguistic Data

Author : Harald Baayen
Publisher :
ISBN 13 : 9780511386305
Total Pages : 369 pages
Book Rating : 4.3/5 (863 download)

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Book Synopsis Analyzing Linguistic Data by : Harald Baayen

Download or read book Analyzing Linguistic Data written by Harald Baayen and published by . This book was released on 2008 with total page 369 pages. Available in PDF, EPUB and Kindle. Book excerpt: A straightforward introduction to the statistical analysis of language data, designed for students with a non-mathematical background.

Statistics for Linguistics with R

Author : Stefan Th. Gries
Publisher : Walter de Gruyter
ISBN 13 : 3110307472
Total Pages : 374 pages
Book Rating : 4.1/5 (13 download)

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Book Synopsis Statistics for Linguistics with R by : Stefan Th. Gries

Download or read book Statistics for Linguistics with R written by Stefan Th. Gries and published by Walter de Gruyter. This book was released on 2013-03-22 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Writing about Quantitative Research in Applied Linguistics

Author : L. Woodrow
Publisher : Springer
ISBN 13 : 0230369952
Total Pages : 185 pages
Book Rating : 4.2/5 (33 download)

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Book Synopsis Writing about Quantitative Research in Applied Linguistics by : L. Woodrow

Download or read book Writing about Quantitative Research in Applied Linguistics written by L. Woodrow and published by Springer. This book was released on 2014-09-28 with total page 185 pages. Available in PDF, EPUB and Kindle. Book excerpt: With increasing pressure on academics and graduate students to publish in peer reviewed journals, this book offers a much-needed guide to writing about and publishing quantitative research in applied linguistics. With annotated examples and useful resources, this book will be indispensable to graduate students and seasoned researchers alike.

Statistics for Linguistics with R

Author : Stefan Th. Gries
Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 3110718251
Total Pages : 512 pages
Book Rating : 4.1/5 (17 download)

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Book Synopsis Statistics for Linguistics with R by : Stefan Th. Gries

Download or read book Statistics for Linguistics with R written by Stefan Th. Gries and published by Walter de Gruyter GmbH & Co KG. This book was released on 2021-05-10 with total page 512 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Supervised Machine Learning for Text Analysis in R

Author : Emil Hvitfeldt
Publisher : CRC Press
ISBN 13 : 1000461971
Total Pages : 402 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Supervised Machine Learning for Text Analysis in R by : Emil Hvitfeldt

Download or read book Supervised Machine Learning for Text Analysis in R written by Emil Hvitfeldt and published by CRC Press. This book was released on 2021-10-22 with total page 402 pages. Available in PDF, EPUB and Kindle. Book excerpt: Text data is important for many domains, from healthcare to marketing to the digital humanities, but specialized approaches are necessary to create features for machine learning from language. Supervised Machine Learning for Text Analysis in R explains how to preprocess text data for modeling, train models, and evaluate model performance using tools from the tidyverse and tidymodels ecosystem. Models like these can be used to make predictions for new observations, to understand what natural language features or characteristics contribute to differences in the output, and more. If you are already familiar with the basics of predictive modeling, use the comprehensive, detailed examples in this book to extend your skills to the domain of natural language processing. This book provides practical guidance and directly applicable knowledge for data scientists and analysts who want to integrate unstructured text data into their modeling pipelines. Learn how to use text data for both regression and classification tasks, and how to apply more straightforward algorithms like regularized regression or support vector machines as well as deep learning approaches. Natural language must be dramatically transformed to be ready for computation, so we explore typical text preprocessing and feature engineering steps like tokenization and word embeddings from the ground up. These steps influence model results in ways we can measure, both in terms of model metrics and other tangible consequences such as how fair or appropriate model results are.

Statistics in Corpus Linguistics

Author : Vaclav Brezina
Publisher : Cambridge University Press
ISBN 13 : 1107125707
Total Pages : 317 pages
Book Rating : 4.1/5 (71 download)

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Book Synopsis Statistics in Corpus Linguistics by : Vaclav Brezina

Download or read book Statistics in Corpus Linguistics written by Vaclav Brezina and published by Cambridge University Press. This book was released on 2018-09-20 with total page 317 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive and accessible introduction to statistics in corpus linguistics, covering multiple techniques of quantitative language analysis and data visualisation.

Language in Development

Author : Gita Martohardjono
Publisher : MIT Press
ISBN 13 : 0262361973
Total Pages : 347 pages
Book Rating : 4.2/5 (623 download)

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Book Synopsis Language in Development by : Gita Martohardjono

Download or read book Language in Development written by Gita Martohardjono and published by MIT Press. This book was released on 2021-08-17 with total page 347 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explorations of language development in different types of learner populations and across various languages. This volume examines language development in different types of learner populations and across various languages. The contributors analyze experimental studies of child and adult language acquisition, heritage language development, bilingualism, and language disorders. They consider theoretical and methodological issues; language development in children, discussing topics that range from gestures to errors in person and number agreement; and development and attrition of (morpho)syntactic constructions in second language learners, bilinguals, and Alzheimer's patients. The approach is "crosslinguistic" in three senses of the word: the contributors offer analyses of acquisition phenomena in different languages; they consider "crosslinguistic influence," or the potential effects of multiple languages on one another in the mind of the same speaker; and (in a novel use of the term, proposed by the editors) the chapters bring together theoretical and methodological approaches pertinent to the linguistics of language development in children, adults, and heritage speakers.

The Making and Breaking of Classification Models in Linguistics

Author : Jane Klavan
Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 3110665182
Total Pages : 262 pages
Book Rating : 4.1/5 (16 download)

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Book Synopsis The Making and Breaking of Classification Models in Linguistics by : Jane Klavan

Download or read book The Making and Breaking of Classification Models in Linguistics written by Jane Klavan and published by Walter de Gruyter GmbH & Co KG. This book was released on 2024-06-04 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.