Download or read book Computational Methods for Corpus Annotation and Analysis written by Xiaofei Lu and published by Springer. This book was released on 2014-07-08 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the past few decades the use of increasingly large text corpora has grown rapidly in language and linguistics research. This was enabled by remarkable strides in natural language processing (NLP) technology, technology that enables computers to automatically and efficiently process, annotate and analyze large amounts of spoken and written text in linguistically and/or pragmatically meaningful ways. It has become more desirable than ever before for language and linguistics researchers who use corpora in their research to gain an adequate understanding of the relevant NLP technology to take full advantage of its capabilities. This volume provides language and linguistics researchers with an accessible introduction to the state-of-the-art NLP technology that facilitates automatic annotation and analysis of large text corpora at both shallow and deep linguistic levels. The book covers a wide range of computational tools for lexical, syntactic, semantic, pragmatic and discourse analysis, together with detailed instructions on how to obtain, install and use each tool in different operating systems and platforms. The book illustrates how NLP technology has been applied in recent corpus-based language studies and suggests effective ways to better integrate such technology in future corpus linguistics research. This book provides language and linguistics researchers with a valuable reference for corpus annotation and analysis.
Download or read book Natural Language Processing for Corpus Linguistics written by Jonathan Dunn and published by Cambridge University Press. This book was released on 2022-03-31 with total page 149 pages. Available in PDF, EPUB and Kindle. Book excerpt: Corpus analysis can be expanded and scaled up by incorporating computational methods from natural language processing. This Element shows how text classification and text similarity models can extend our ability to undertake corpus linguistics across very large corpora. These computational methods are becoming increasingly important as corpora grow too large for more traditional types of linguistic analysis. We draw on five case studies to show how and why to use computational methods, ranging from usage-based grammar to authorship analysis to using social media for corpus-based sociolinguistics. Each section is accompanied by an interactive code notebook that shows how to implement the analysis in Python. A stand-alone Python package is also available to help readers use these methods with their own data. Because large-scale analysis introduces new ethical problems, this Element pairs each new methodology with a discussion of potential ethical implications.
Download or read book Statistical Methods for Annotation Analysis written by Silviu Paun and published by Morgan & Claypool Publishers. This book was released on 2022-01-13 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: Labelling data is one of the most fundamental activities in science, and has underpinned practice, particularly in medicine, for decades, as well as research in corpus linguistics since at least the development of the Brown corpus. With the shift towards Machine Learning in Artificial Intelligence (AI), the creation of datasets to be used for training and evaluating AI systems, also known in AI as corpora, has become a central activity in the field as well. Early AI datasets were created on an ad-hoc basis to tackle specific problems. As larger and more reusable datasets were created, requiring greater investment, the need for a more systematic approach to dataset creation arose to ensure increased quality. A range of statistical methods were adopted, often but not exclusively from the medical sciences, to ensure that the labels used were not subjective, or to choose among different labels provided by the coders. A wide variety of such methods is now in regular use. This book is meant to provide a survey of the most widely used among these statistical methods supporting annotation practice. As far as the authors know, this is the first book attempting to cover the two families of methods in wider use. The first family of methods is concerned with the development of labelling schemes and, in particular, ensuring that such schemes are such that sufficient agreement can be observed among the coders. The second family includes methods developed to analyze the output of coders once the scheme has been agreed upon, particularly although not exclusively to identify the most likely label for an item among those provided by the coders. The focus of this book is primarily on Natural Language Processing, the area of AI devoted to the development of models of language interpretation and production, but many if not most of the methods discussed here are also applicable to other areas of AI, or indeed, to other areas of Data Science.
Download or read book Corpus Annotation written by R. G. Garside and published by Routledge. This book was released on 2016-07-10 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Corpus Annotation gives an up-to-date picture of this fascinating new area of research, and will provide essential reading for newcomers to the field as well as those already involved in corpus annotation. Early chapters introduce the different levels and techniques of corpus annotation. Later chapters deal with software developments, applications, and the development of standards for the evaluation of corpus annotation. While the book takes detailed account of research world-wide, its focus is particularly on the work of the UCREL (University Centre for Computer Corpus Research on Language) team at Lancaster University, which has been at the forefront of developments in the field of corpus annotation since its beginnings in the 1970s.
Download or read book Corpus Annotation written by Roger Garside and published by Routledge. This book was released on 1997 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a text which surveys the growing field of research known as corpus annotation - an electronic collection of texts. Corpus annotation is a central resource in linguisticsi̧nformation technology and the processing of human language. The book seeks to show the nature of language and the most effective means of analysing it. A bibliography lists relevant e-mail addresses and Web sites.
Download or read book Language Corpora Annotation and Processing written by Niladri Sekhar Dash and published by Springer Nature. This book was released on 2021 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses the research, analysis, and description of the methods and processes that are used in the annotation and processing of language corpora in advanced, semi-advanced, and non-advanced languages. It provides the background information and empirical data needed to understand the nature and depth of problems related to corpus annotation and text processing and shows readers how the linguistic elements found in texts are analyzed and applied to develop language technology systems and devices. As such, it offers valuable insights for researchers, educators, and students of linguistics and language technology.
Download or read book Corpus Annotation written by and published by . This book was released on 1997 with total page 281 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Computational and Corpus Approaches to Chinese Language Learning written by Xiaofei Lu and published by Springer. This book was released on 2019-02-06 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a collection of original research articles that showcase the state of the art of research in corpus and computational linguistic approaches to Chinese language teaching, learning and assessment. It offers a comprehensive set of corpus resources and natural language processing tools that are useful for teaching, learning and assessing Chinese as a second or foreign language; methods for implementing such resources and techniques in Chinese pedagogy and assessment; as well as research findings on the effectiveness of using such resources and techniques in various aspects of Chinese pedagogy and assessment.
Download or read book The Routledge Handbook of Corpus Linguistics written by Anne O'Keeffe and published by Routledge. This book was released on 2022-02-08 with total page 684 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Routledge Handbook of Corpus Linguistics 2e provides an updated overview of a dynamic and rapidly growing area with a widely applied methodology. Over a decade on from the first edition of the Handbook, this collection of 47 chapters from experts in key areas offers a comprehensive introduction to both the development and use of corpora as well as their ever-evolving applications to other areas, such as digital humanities, sociolinguistics, stylistics, translation studies, materials design, language teaching and teacher development, media discourse, discourse analysis, forensic linguistics, second language acquisition and testing. The new edition updates all core chapters and includes new chapters on corpus linguistics and statistics, digital humanities, translation, phonetics and phonology, second language acquisition, social media and theoretical perspectives. Chapters provide annotated further reading lists and step-by-step guides as well as detailed overviews across a wide range of themes. The Handbook also includes a wealth of case studies that draw on some of the many new corpora and corpus tools that have emerged in the last decade. Organised across four themes, moving from the basic start-up topics such as corpus building and design to analysis, application and reflection, this second edition remains a crucial point of reference for advanced undergraduates, postgraduates and scholars in applied linguistics.
Download or read book Natural Language Annotation for Machine Learning written by James Pustejovsky and published by "O'Reilly Media, Inc.". This book was released on 2013 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: Includes bibliographical references (p. 305-315) and index.
Download or read book Advanced Computational and Communication Paradigms written by Samarjeet Borah and published by Springer Nature. This book was released on 2023-09-20 with total page 536 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents high-quality, peer-reviewed papers from Fourth International Conference on Advanced Computational and Communication Paradigms (ICACCP 2023), organized by Department of Computer Science and Engineering (CSE), Sikkim Manipal Institute of Technology (SMIT), Sikkim, India, during February 16–18, 2023. ICACCP 2023 covers advanced computational paradigms and communications technique which provides failsafe and robust solutions to the emerging problems faced by mankind. Technologists, scientists, industry professionals, and research scholars from regional, national, and international levels are invited to present their original unpublished work in this conference.
Download or read book Corpus Annotation written by R.G. Garside and published by Routledge. This book was released on 2014 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: Corpus Annotation gives an up-to-date picture of this fascinating new area of research, and will provide essential reading for newcomers to the field as well as those already involved in corpus annotation. Early chapters introduce the different levels and techniques of corpus annotation. Later chapters deal with software developments, applications, and the development of standards for the evaluation of corpus annotation. While the book takes detailed account of research world-wide, its focus is particularly on the work of the UCREL (University Centre for Computer Corpus Research on Language) team at Lancaster University, which has been at the forefront of developments in the field of corpus annotation since its beginnings in the 1970s.
Download or read book Corpus Linguistics and Second Language Acquisition written by Xiaofei Lu and published by Taylor & Francis. This book was released on 2022-10-24 with total page 173 pages. Available in PDF, EPUB and Kindle. Book excerpt: In Corpus Linguistics and Second Language Acquisition, Xiaofei Lu comprehensively reviews empirical studies that employ corpus linguistic methods to investigate issues in second language variation, processing, production, and development. These methods enable advanced students and researchers to: Examine learner and task variables that condition variation in second language use Understand the effects of various input factors on second language processing and production Track group longitudinal trajectories of second language development and the input, learner, and task factors that affect such trajectories Profile inter- and intra-learner variability and individual variation in second language longitudinal development This book will serve as an excellent resource for students and researchers with interests in corpus linguistics and second language acquisition.
Download or read book Complexity Accuracy and Fluency in Learner Corpus Research written by Agnieszka Leńko-Szymańska and published by John Benjamins Publishing Company. This book was released on 2022-12-15 with total page 335 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume illustrates the high potential of learner corpus investigations for research into the CAF triad by presenting eleven original learner corpus-based studies which are set within solid theoretical frameworks, examine learner corpora with state-of-the-art analytical techniques and yield highly interesting findings. The volume’s major strength lies in the range of issues it undertakes and in its interdisciplinary thematic novelty. The chapters collectively address all three dimensions of L2 performance related to different linguistic subsystems (i.e. lexical, phraseological and grammatical complexity and accuracy, along with fluency) as well as the interactions among these constructs. The studies are based on data drawn from carefully compiled learner corpora which are analysed with the help of diverse corpus-based methods. The theoretical discussions and the empirical results shall contribute to the advancement of the fields of SLA and writing and speech research and shall inspire further investigations in the area of the CAF triad.
Download or read book English Corpus Linguistics written by Charles F. Meyer and published by Cambridge University Press. This book was released on 2023-06-30 with total page 211 pages. Available in PDF, EPUB and Kindle. Book excerpt: Corpus linguistics is a research method which draws on authentic language examples, collected and organized into 'corpora', or searchable 'bodies' of data. The method was established in the 1960s, and has rapidly developed since then. Now in its second edition, this book provides a step-by-step guide on how to create and analyze linguistic corpora. It has been extensively updated to reflect the most recent developments in this ever-evolving field, and now covers the empirical foundation of corpus-based research, new methodological considerations that guide the creation of a corpus, new kinds of research that can be conducted on corpora, and the most up-to-date information on how qualitative and quantitative analyses of corpora are conducted. Theoretical approaches are introduced in an accessible, easy-to-read way, and the book is illustrated with a wide range of different linguistic corpora, making it essential reading for researchers and students in a number of subfields of linguistics.
Download or read book Computational Analysis and Understanding of Natural Languages Principles Methods and Applications written by and published by Elsevier. This book was released on 2018-08-27 with total page 537 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Analysis and Understanding of Natural Languages: Principles, Methods and Applications, Volume 38, the latest release in this monograph that provides a cohesive and integrated exposition of these advances and associated applications, includes new chapters on Linguistics: Core Concepts and Principles, Grammars, Open-Source Libraries, Application Frameworks, Workflow Systems, Mathematical Essentials, Probability, Inference and Prediction Methods, Random Processes, Bayesian Methods, Machine Learning, Artificial Neural Networks for Natural Language Processing, Information Retrieval, Language Core Tasks, Language Understanding Applications, and more. The synergistic confluence of linguistics, statistics, big data, and high-performance computing is the underlying force for the recent and dramatic advances in analyzing and understanding natural languages, hence making this series all the more important. Provides a thorough treatment of open-source libraries, application frameworks and workflow systems for natural language analysis and understanding Presents new chapters on Linguistics: Core Concepts and Principles, Grammars, Open-Source Libraries, Application Frameworks, Workflow Systems, Mathematical Essentials, Probability, and more
Download or read book Handbook of Linguistic Annotation written by Nancy Ide and published by Springer. This book was released on 2017-06-16 with total page 1459 pages. Available in PDF, EPUB and Kindle. Book excerpt: This handbook offers a thorough treatment of the science of linguistic annotation. Leaders in the field guide the reader through the process of modeling, creating an annotation language, building a corpus and evaluating it for correctness. Essential reading for both computer scientists and linguistic researchers.Linguistic annotation is an increasingly important activity in the field of computational linguistics because of its critical role in the development of language models for natural language processing applications. Part one of this book covers all phases of the linguistic annotation process, from annotation scheme design and choice of representation format through both the manual and automatic annotation process, evaluation, and iterative improvement of annotation accuracy. The second part of the book includes case studies of annotation projects across the spectrum of linguistic annotation types, including morpho-syntactic tagging, syntactic analyses, a range of semantic analyses (semantic roles, named entities, sentiment and opinion), time and event and spatial analyses, and discourse level analyses including discourse structure, co-reference, etc. Each case study addresses the various phases and processes discussed in the chapters of part one.
