Analyzing Linguistic Data
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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
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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
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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
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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.
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
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.
Statistical Analysis Of Language Data And Discourse
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Author : Pasquale De Marco
language : en
Publisher: Pasquale De Marco
Release Date :
Statistical Analysis Of Language Data And Discourse written by Pasquale De Marco and has been published by Pasquale De Marco this book supported file pdf, txt, epub, kindle and other format this book has been release on with Language Arts & Disciplines categories.
**Statistical Analysis of Language, Data, and Discourse** provides a comprehensive introduction to the statistical methods used in the analysis of language, data, and discourse. Written in a clear and accessible style, this book is suitable for readers with a basic understanding of mathematics and statistics, as well as for those with no prior background in these areas. With the increasing availability of large-scale language corpora, statistical methods are now being used to investigate a wide range of linguistic phenomena, including the structure of language, the acquisition of language, the use of language in different social contexts, and the evolution of language over time. This book provides a solid foundation in the basic principles of statistical analysis, as well as an overview of the latest advances in the field. Key features of the book include: * Comprehensive coverage of the statistical methods used in the analysis of language, data, and discourse * Clear and accessible explanations, with step-by-step instructions and numerous examples * Suitable for readers with a basic understanding of mathematics and statistics, as well as for those with no prior background in these areas * Up-to-date coverage of the latest advances in statistical modeling and analysis This book is an essential resource for anyone who wants to understand the statistical methods used in the study of language. It is also a valuable resource for researchers and practitioners in a variety of fields, including linguistics, natural language processing, computational linguistics, forensic linguistics, social linguistics, historical linguistics, psycholinguistics, and language teaching and learning. If you like this book, write a review!
Cluster Analysis For Corpus Linguistics
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Author : Hermann Moisl
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2015-02-24
Cluster Analysis For Corpus Linguistics written by Hermann Moisl 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 2015-02-24 with Language Arts & Disciplines categories.
The standard scientific methodology in linguistics is empirical testing of falsifiable hypotheses. As such the process of hypothesis generation is central, and involves formulation of a research question about a domain of interest and statement of a hypothesis relative to it. In corpus linguistics the domain is text, and generation involves abstraction of data from text, data analysis, and formulation of a hypothesis based on inference from the results. Traditionally this process has been paper-based, but the advent of electronic text has increasingly rendered it obsolete both because the size of digital corpora is now at or beyond the limit of what can efficiently be used in the traditional way, and because the complexity of data abstracted from them can be impenetrable to understanding. Linguists are increasingly turning to mathematical and statistical computational methods for help, and cluster analysis is such a method. It is used across the sciences for hypothesis generation by identification of structure in data which are too large or complex, or both, to be interpretable by direct inspection. This book aims to show how cluster analysis can be used for hypothesis generation in corpus linguistics, thereby contributing to a quantitative empirical methodology for the discipline.
Research Methods In Language Acquisition
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Author : Barbara Lust
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2016-11-07
Research Methods In Language Acquisition written by Barbara Lust 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 2016-11-07 with Language Arts & Disciplines categories.
Language acquisition research is challenging—the intricate behavioral and cognitive foundations of speech are difficult to measure objectively. The audible components of speech, however, are quantifiable and thus provide crucial data. This practical guide synthesizes the authors’ decades of experience into a comprehensive set of tools that will allow students and early career researchers in the field to design and conduct rigorous studies that produce reliable and valid speech data and interpretations. The authors thoroughly review specific techniques for obtaining qualitative and quantitative speech data, including how to tailor the testing environments for optimal results. They explore observational tasks for collecting natural speech and experimental tasks for eliciting specific types of speech. Language comprehension tasks are also reviewed so researchers can study participants’ interpretations of speech and conceptualizations of grammar. Most tasks are oriented towards children, but special considerations for infants are also reviewed, as well as multilingual children. Chapters also provide strategies for transcribing and coding raw speech data into reliable data sets that can be scientifically analyzed. Furthermore, they investigate the intricacies of interpretation so that researchers can make empirically sound inferences from their data and avoid common pitfalls that can lead to unscientific conclusions.
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.