Development of Linguistic Linked Open Data Resources for Collaborative Data-Intensive Research in the Language Sciences

Author:   Antonio Pareja-Lora (Universidad Complutense de Madrid) ,  María Blume (Pontificia Universidad Católica del Perú) ,  Barbara C. Lust (Cornell University) ,  Christian Chiarcos (Professor, Goethe-Universität Frankfurt am Main)
Publisher:   MIT Press Ltd
ISBN:  

9780262536257


Pages:   272
Publication Date:   07 January 2020
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Development of Linguistic Linked Open Data Resources for Collaborative Data-Intensive Research in the Language Sciences


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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 Barri re, 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 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 Barri re, 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

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Author:   Antonio Pareja-Lora (Universidad Complutense de Madrid) ,  María Blume (Pontificia Universidad Católica del Perú) ,  Barbara C. Lust (Cornell University) ,  Christian Chiarcos (Professor, Goethe-Universität Frankfurt am Main)
Publisher:   MIT Press Ltd
Imprint:   MIT Press
Dimensions:   Width: 17.80cm , Height: 1.60cm , Length: 22.90cm
ISBN:  

9780262536257


ISBN 10:   0262536250
Pages:   272
Publication Date:   07 January 2020
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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Antonio Pareja-Lora is is Associate Professor in the Department of Computer Systems and Computation at the Universidad Complutense de Madrid. Maria Blume is Associate Professor of Linguistics in the Department of Humanities at Pontificia Universidad Cat lica del Pero. Barbara C. Lust is Professor Emerita in the Department of Human Development and Cognitive Science Program at Cornell University Christian Chiarcos is Professor of Applied Computational Linguistics in the Department of Computer Science and Mathematics at Goethe University Frankfurt. Christian Chiarcos is Professor of Applied Computational Linguistics in the Department of Computer Science and Mathematics at Goethe University Frankfurt. Antonio Pareja-Lora is is Associate Professor in the Department of Computer Systems and Computation at the Universidad Complutense de Madrid. Christian Chiarcos is Professor of Applied Computational Linguistics in the Department of Computer Science and Mathematics at Goethe University Frankfurt. Maria Blume is Associate Professor of Linguistics in the Department of Humanities at Pontificia Universidad Cat lica del Pero. Antonio Pareja-Lora is is Associate Professor in the Department of Computer Systems and Computation at the Universidad Complutense de Madrid. Barbara C. Lust is Professor Emerita in the Department of Human Development and Cognitive Science Program at Cornell University Maria Blume is Associate Professor of Linguistics in the Department of Humanities at Pontificia Universidad Cat lica del Pero.

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