Download or read book Linked Data in Linguistics written by Christian Chiarcos and published by Springer Science & Business Media. This book was released on 2012-02-21 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: The explosion of information technology has led to substantial growth of web-accessible linguistic data in terms of quantity, diversity and complexity. These resources become even more useful when interlinked with each other to generate network effects. The general trend of providing data online is thus accompanied by newly developing methodologies to interconnect linguistic data and metadata. This includes linguistic data collections, general-purpose knowledge bases (e.g., the DBpedia, a machine-readable edition of the Wikipedia), and repositories with specific information about languages, linguistic categories and phenomena. The Linked Data paradigm provides a framework for interoperability and access management, and thereby allows to integrate information from such a diverse set of resources. The contributions assembled in this volume illustrate the band-width of applications of the Linked Data paradigm for representative types of language resources. They cover lexical-semantic resources, annotated corpora, typological databases as well as terminology and metadata repositories. The book includes representative applications from diverse fields, ranging from academic linguistics (e.g., typology and corpus linguistics) over applied linguistics (e.g., lexicography and translation studies) to technical applications (in computational linguistics, Natural Language Processing and information technology). This volume accompanies the Workshop on Linked Data in Linguistics 2012 (LDL-2012) in Frankfurt/M., Germany, organized by the Open Linguistics Working Group (OWLG) of the Open Knowledge Foundation (OKFN). It assembles contributions of the workshop participants and, beyond this, it summarizes initial steps in the formation of a Linked Open Data cloud of linguistic resources, the Linguistic Linked Open Data cloud (LLOD).
Download or read book Development of Linguistic Linked Open Data Resources for Collaborative Data Intensive Research in the Language Sciences written by Antonio Pareja-Lora and published by MIT Press. This book was released on 2020-01-07 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: Making diverse data in linguistics and the language sciences open, distributed, and accessible: perspectives from language/language acquistiion researchers and technical LOD (linked open data) researchers. This volume examines the challenges inherent in making diverse data in linguistics and the language sciences open, distributed, integrated, and accessible, thus fostering wide data sharing and collaboration. It is unique in integrating the perspectives of language researchers and technical LOD (linked open data) researchers. Reporting on both active research needs in the field of language acquisition and technical advances in the development of data interoperability, the book demonstrates the advantages of an international infrastructure for scholarship in the field of language sciences. With contributions by researchers who produce complex data content and scholars involved in both the technology and the conceptual foundations of LLOD (linguistics linked open data), the book focuses on the area of language acquisition because it involves complex and diverse data sets, cross-linguistic analyses, and urgent collaborative research. The contributors discuss a variety of research methods, resources, and infrastructures. Contributors Isabelle Barrière, Nan Bernstein Ratner, Steven Bird, Maria Blume, Ted Caldwell, Christian Chiarcos, Cristina Dye, Suzanne Flynn, Claire Foley, Nancy Ide, Carissa Kang, D. Terence Langendoen, Barbara Lust, Brian MacWhinney, Jonathan Masci, Steven Moran, Antonio Pareja-Lora, Jim Reidy, Oya Y. Rieger, Gary F. Simons, Thorsten Trippel, Kara Warburton, Sue Ellen Wright, Claus Zinn
Download or read book Linguistic Linked Data written by Philipp Cimiano and published by Springer Nature. This book was released on 2020-01-13 with total page 289 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the first monograph on the emerging area of linguistic linked data. Presenting a combination of background information on linguistic linked data and concrete implementation advice, it introduces and discusses the main benefits of applying linked data (LD) principles to the representation and publication of linguistic resources, arguing that LD does not look at a single resource in isolation but seeks to create a large network of resources that can be used together and uniformly, and so making more of the single resource. The book describes how the LD principles can be applied to modelling language resources. The first part provides the foundation for understanding the remainder of the book, introducing the data models, ontology and query languages used as the basis of the Semantic Web and LD and offering a more detailed overview of the Linguistic Linked Data Cloud. The second part of the book focuses on modelling language resources using LD principles, describing how to model lexical resources using Ontolex-lemon, the lexicon model for ontologies, and how to annotate and address elements of text represented in RDF. It also demonstrates how to model annotations, and how to capture the metadata of language resources. Further, it includes a chapter on representing linguistic categories. In the third part of the book, the authors describe how language resources can be transformed into LD and how links can be inferred and added to the data to increase connectivity and linking between different datasets. They also discuss using LD resources for natural language processing. The last part describes concrete applications of the technologies: representing and linking multilingual wordnets, applications in digital humanities and the discovery of language resources. Given its scope, the book is relevant for researchers and graduate students interested in topics at the crossroads of natural language processing / computational linguistics and the Semantic Web / linked data. It appeals to Semantic Web experts who are not proficient in applying the Semantic Web and LD principles to linguistic data, as well as to computational linguists who are used to working with lexical and linguistic resources wanting to learn about a new paradigm for modelling, publishing and exploiting linguistic resources.
Download or read book Linked Data in Linguistics written by and published by Springer. This book was released on 2012-02-22 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt:
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.
Download or read book Linguistic Fieldwork written by Jeanette Sakel and published by Cambridge University Press. This book was released on 2012-02-02 with total page 193 pages. Available in PDF, EPUB and Kindle. Book excerpt: A handy beginner's guide to linguistic fieldwork - from the preparation of the work to the presentation of the results.
Download or read book Linguistic Ethnography written by Fiona Copland and published by SAGE. This book was released on 2015-01-22 with total page 307 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is an engaging interdisciplinary guide to the unique role of language within ethnography. The book provides a philosophical overview of the field alongside practical support for designing and developing your own ethnographic research. It demonstrates how to build and develop arguments and engages with practical issues such as ethics, transcription and impact. There are chapter-long case studies based on real research that will explain key themes and help you create and analyse your own linguistic data. Drawing on the authors’ experience they outline the practical, epistemological and theoretical decisions that researchers must take when planning and carrying out their studies. Other key features include: A clear introduction to discourse analytic traditions Tips on how to produce effective field notes Guidance on how to manage interview and conversational data Advice on writing linguistic ethnographies for different audiences Annotated suggestions for further reading Full glossary This book is a master class in understanding linguistic ethnography, it will of interest to anyone conducting field research across the social sciences.
Download or read book Linguistic Fieldwork written by C. Bowern and published by Springer. This book was released on 2015-02-10 with total page 474 pages. Available in PDF, EPUB and Kindle. Book excerpt: Linguistic Fieldwork offers practical guidance on areas such as applying for funding, the first session on a new language, writing up the data and returning materials to communities. This expanded second edition provides new content on the results of research, on prosody elicitation, on field experiment design, and on working in complex syntax.
Download or read book Developing Linguistic Corpora written by Martin Wynne and published by Oxbow Books Limited. This book was released on 2005 with total page 100 pages. Available in PDF, EPUB and Kindle. Book excerpt: A linguistic corpus is a collection of texts which have been selected and brought together so that language can be studied on the computer. Today, corpus linguistics offers some of the most powerful new procedures for the analysis of language, and the impact of this dynamic and expanding sub-discipline is making itself felt in many areas of language study. In this volume, a selection of leading experts in various key areas of corpus construction offer advice in a readable and largely non-technical style to help the reader to ensure that their corpus is well designed and fit for the intended purpose. This guide is aimed at those who are at some stage of building a linguistic corpus. Little or no knowledge of corpus linguistics or computational procedures is assumed, although it is hoped that more advanced users will find the guidelines here useful. It is also aimed at those who are not building a corpus, but who need to know something about the issues involved in the design of corpora in order to choose between available resources and to help draw conclusions from their studies.
Download or read book Corpus Linguistics and Statistics with R written by Guillaume Desagulier and published by Springer. This book was released on 2017-11-17 with total page 359 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook examines empirical linguistics from a theoretical linguist’s perspective. It provides both a theoretical discussion of what quantitative corpus linguistics entails and detailed, hands-on, step-by-step instructions to implement the techniques in the field. The statistical methodology and R-based coding from this book teach readers the basic and then more advanced skills to work with large data sets in their linguistics research and studies. Massive data sets are now more than ever the basis for work that ranges from usage-based linguistics to the far reaches of applied linguistics. This book presents much of the methodology in a corpus-based approach. However, the corpus-based methods in this book are also essential components of recent developments in sociolinguistics, historical linguistics, computational linguistics, and psycholinguistics. Material from the book will also be appealing to researchers in digital humanities and the many non-linguistic fields that use textual data analysis and text-based sensorimetrics. Chapters cover topics including corpus processing, frequencing data, and clustering methods. Case studies illustrate each chapter with accompanying data sets, R code, and exercises for use by readers. This book may be used in advanced undergraduate courses, graduate courses, and self-study.
Download or read book Fostering Linguistic Equality written by Sarah E. Hercula and published by Palgrave Macmillan. This book was released on 2021-05-26 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers one possible solution in the pursuit of linguistic equality by exploring how the Structural Inquiry of Stigmatized English (SISE) approach to linguistics pedagogy can be used to empower linguistics students and researchers as ambassadors for change. By using stigmatized varieties of English (including African American English, Chicano English, and Appalachian English) as the primary linguistic data analyzed through detailed structural analysis, the SISE approach fosters linguistically principled and pluralistic language attitudes among students, as evidenced by the author’s own empirical research in applying the method. This book not only advocates for linguistic equality but also provides teachers and researchers with the tools they need to counteract prejudicial attitudes and disinformation about language both in and outside the classroom. It will be an essential resource for linguistics teachers, applied linguists, curriculum developers, students and scholars of language attitudes and language variation, and anyone seeking more information about the relationships between diversity, (in)equality, and language.
Download or read book Linguistics for the Age of AI written by Marjorie Mcshane and published by MIT Press. This book was released on 2021-03-02 with total page 449 pages. Available in PDF, EPUB and Kindle. Book excerpt: A human-inspired, linguistically sophisticated model of language understanding for intelligent agent systems. One of the original goals of artificial intelligence research was to endow intelligent agents with human-level natural language capabilities. Recent AI research, however, has focused on applying statistical and machine learning approaches to big data rather than attempting to model what people do and how they do it. In this book, Marjorie McShane and Sergei Nirenburg return to the original goal of recreating human-level intelligence in a machine. They present a human-inspired, linguistically sophisticated model of language understanding for intelligent agent systems that emphasizes meaning--the deep, context-sensitive meaning that a person derives from spoken or written language.
Download or read book The Atlas of Pidgin and Creole Language Structures written by Susanne Maria Michaelis and published by Oxford University Press, USA. This book was released on 2013-09-05 with total page 572 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Atlas presents commentaries and colour maps showing how 130 linguistic features - phonological, syntactic, morphological, and lexical - are distributed among the world's pidgins and creoles. Designed and written by the world's leading experts, it is a unique resource of outstanding value for linguists of all persuasions throughout the world.
Download or read book Data Collection Research Methods in Applied Linguistics written by Heath Rose and published by Bloomsbury Publishing. This book was released on 2019-11-28 with total page 313 pages. Available in PDF, EPUB and Kindle. Book excerpt: The successful collection of data is a key challenge to obtaining reliable and valid results in applied linguistics research. Data Collection Research Methods in Applied Linguistics investigates how research is conducted in the field, encompassing the challenges and obstacles applied linguists face in collecting good data. The book explores frequently used data collection techniques, including: * interviews and focus groups * observations * stimulated recall and think aloud protocols * data elicitation tasks * corpus methods * questionnaires * validated tests and measures Each chapter focuses on one type of data collection, outlining key concepts, threats to reliability and validity, procedures for good data collection, and implications for researchers. The chapters also include exemplary research projects, showcasing and explaining for readers how the technique was used to collect data in a successfully published study. This book is an essential resource for both novice and experienced applied linguists tackling data collection techniques for the first time.
Download or read book Introducing Linguistic Research written by Svenja Voelkel and published by Cambridge University Press. This book was released on 2021-09-09 with total page 413 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over the past decade, conducting empirical research in linguistics has become increasingly popular. The first of its kind, this book provides an engaging and practical introduction to this exciting versatile field, providing a comprehensive overview of research aspects in general, and covering a broad range of subdiscipline-specific methodological approaches. Subfields covered include language documentation and descriptive linguistics, language typology, corpus linguistics, sociolinguistics and anthropological linguistics, cognitive linguistics and psycholinguistics, and neurolinguistics. The book reflects on the strengths and weaknesses of each single approach and on how they interact with one-another across the study of language in its many diverse facets. It also includes exercises, example student projects and recommendations for further reading, along with additional online teaching materials. Providing hands-on experience, and written in an engaging and accessible style, this unique and comprehensive guide will give students the inspiration they need to develop their own research projects in empirical linguistics.
Download or read book Corpus linguistics written by Stefanowitsch, Anatol and published by Language Science Press. This book was released on 2020 with total page 510 pages. Available in PDF, EPUB and Kindle. Book excerpt: Corpora are used widely in linguistics, but not always wisely. This book attempts to frame corpus linguistics systematically as a variant of the observational method. The first part introduces the reader to the general methodological discussions surrounding corpus data as well as the practice of doing corpus linguistics, including issues such as the scientific research cycle, research design, extraction of corpus data and statistical evaluation. The second part consists of a number of case studies from the main areas of corpus linguistics (lexical associations, morphology, grammar, text and metaphor), surveying the range of issues studied in corpus linguistics while at the same time showing how they fit into the methodology outlined in the first part.
Download or read book Machine aided Linguistic Discovery written by Vladimir Pericliev and published by Equinox Publishing (UK). This book was released on 2010 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Solving linguistic problems not infrequently is reduced to carrying out tasks that are computationally complex and therefore requires automation. In such situations, the difference between having and not having computational tools to handle the tasks is not a matter of economy of time and effort, but may amount to the difference between finding and not finding a solution at all. This book is an introduction to machine-aided linguistic discovery, a novel research area, arguing for the fruitfulness of the computational approach by presenting a basic conceptual apparatus and several intelligent discovery programmes. One of the systems models the fundamental Saussurian notion of system, and thus, for the first time, almost a century after the introduction of this concept and structuralism in general, linguists are capable of adequately handling this recurring, computationally complex task. Another system models the problem of searching for Greenbergian language universals and is capable of stating its discoveries in an intelligible form, viz. a comprehensive English language text, thus constituting the first computer program to generate a whole scientific article. Yet another system detects potential inconsistencies in genetic language classifications. The programmes are applied with noteworthy results to substantial problems from diverse linguistic disciplines such as structural semantics, phonology, typology and historical linguistics.
