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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.
Recent years have seen an explosion of interest in the use of computerized text analysis methods to address basic psychological questions. This comprehensive handbook brings together leading language analysis scholars to present foundational concepts and methods for investigating human thought, feeling, and behavior using language. Contributors work toward integrating psychological science and theory with natural language processing (NLP) and machine learning. Ethical issues in working with natural language data sets are discussed in depth. The volume showcases NLP-driven techniques and applications in areas including interpersonal relationships, personality, morality, deception, social biases, political psychology, psychopathology, and public health.
This book offers a state-of-the-art guide to linguistic fieldwork, reflecting its collaborative nature across the subfields of linguistics and disciplines such as astronomy, anthropology, biology, musicology, and ethnography. Experienced scholars and fieldworkers explain the methods and approaches needed to understand a language in its full cultural context and to document it accessibly and enduringly. They consider the application of new technological approaches to recording and documentation, but never lose sight of the crucial relationship between subject and researcher. The book is timely: an increased awareness of dying languages and vanishing dialects has stimulated the impetus for recording them as well as the funds required to do so. The handbook is an indispensible source, guide, and reference for everyone involved in linguistic and cultural work.
This handbook compares the main analytic frameworks and methods of contemporary linguistics. It offers a unique overview of linguistic theory, revealing the common concerns of competing approaches. By showing their current and potential applications it provides the means by which linguists and others can judge what are the most useful models for the task in hand. Distinguished scholars from all over the world explain the rationale and aims of over thirty explanatory approaches to the description, analysis, and understanding of language. Each chapter considers the main goals of the model; the relation it proposes from between lexicon, syntax, semantics, pragmatics, and phonology; the way it defines the interactions between cognition and grammar; what it counts as evidence; and how it explains linguistic change and structure. The Oxford Handbook of Linguistic Analysis offers an indispensable guide for everyone researching any aspect of language including those in linguistics, comparative philology, cognitive science, developmental philology, cognitive science, developmental psychology, computational science, and artificial intelligence. This second edition has been updated to include seven new chapters looking at linguistic units in language acquisition, conversation analysis, neurolinguistics, experimental phonetics, phonological analysis, experimental semantics, and distributional typology.
This book highlights cutting-edge research relevant to the building of a computational model of reading comprehension, as in the processing and understanding of a natural language text or story. The book takes an interdisciplinary approach to the study of reading, with contributions from computer science, psychology, and philosophy. Contributors cover the theoretical and psychological foundations of the research in discussions of what it means to understand a text, how one builds a computational model, and related issues in knowledge representation and reasoning. The book also addresses some of the broader issues that a natural language system must deal with, such as reading in context, linguistic novelty, and information extraction.
The Handbook of Descriptive Linguistic Fieldwork is the most comprehensive reference on linguistic fieldwork on the market bringing together all the reader needs to carry out successful linguistic fieldwork. Based on the experiences of two veteran linguistic fieldworkers and advice from more than a twenty active fieldwork researchers, this handbook provides an encyclopedic review of current publications on linguistic fieldwork and surveys past and present approaches and solutions to problems in the field, and the historical, political, and social variables correlating with fieldwork in different areas of the world. The discussion of the ethical dimensions of fieldwork, as well as what constitutes the “typical” linguistic fieldwork setting or consultant is explored from multiple perspectives relevant to fieldwork on every continent. Included is information omitted in most other texts on the subject such as the collection, representation, management, and methods of extracting grammatical information from discourse and conversational data as well as the relationship between questionnaire-based elicitation, text-based elicitation, and philology, and the need for combinations of these methods. The book is useful before, during and after linguistic field trips since it provides extensive practical macro and micro organization and planning fieldwork tips as well as a handy sketch of major typological features for use in linguistic analysis. Comprehensive references are provided at the end of each chapter as resources relevant to the reader's particular interests.
The digital age has presented an exponential growth in the amount of data available to individuals looking to draw conclusions based on given or collected information across industries. Challenges associated with the analysis, security, sharing, storage, and visualization of large and complex data sets continue to plague data scientists and analysts alike as traditional data processing applications struggle to adequately manage big data. The Handbook of Research on Big Data Storage and Visualization Techniques is a critical scholarly resource that explores big data analytics and technologies and their role in developing a broad understanding of issues pertaining to the use of big data in multidisciplinary fields. Featuring coverage on a broad range of topics, such as architecture patterns, programing systems, and computational energy, this publication is geared towards professionals, researchers, and students seeking current research and application topics on the subject.
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.
This book provides a snapshot of the field of language acquisition at the beginning of the 21st Century. It represents the multiplicity of approaches that characterize the field and provides a review of current topics and debates, as well as addressing some of the connections between sub-fields and possible future directions for research.
Even a cursory look at conference programs and proceedings reveals a burgeoning interest in the field of social and affective factors in home language maintenance and development. To date, however, research on this topic has been published in piecemeal fashion, subsumed under the more general umbrella of ‘bilingualism’. Within bilingualism research, there has been an extensive exploration of linguistic and psycholinguistic perspectives on the one hand, and educational practices and outcomes on the other. In comparison, social and affective factors – which lead people to either maintain or shift the language – have been under-researched. This is the first volume that brings together the different strands in research on social and affective factors in home language maintenance and development, ranging from the micro-level (family language policies and practices), to the meso-level (community initiatives) and the macro-level (mainstream educational policies and their implementation). The volume showcases a wide distribution across contexts and populations explored. Contributors from around the world represent different research paradigms and perspectives, providing a rounded overview of the state-of-the-art in this flourishing field.