Overview
- Documents the evolution and results of the EU project European Language Grid (2019-2022)
- Describes the architecture and implementation of the ELG Language Technology and NLP cloud platform
- Introduces readers to the ELG community consisting of hundreds of industrial and academic stakeholders all over Europe
- This book is open access, which means that you have free and unlimited access
Part of the book series: Cognitive Technologies (COGTECH)
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Table of contents (29 chapters)
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Front Matter
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ELG Cloud Platform
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Front Matter
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ELG Inventory of Technologies and Resources
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Front Matter
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ELG Community and Initiative
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Front Matter
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ELG Open Calls and Pilot Projects
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Front Matter
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Keywords
About this book
The European Language Grid provides a single umbrella platform for the European LT community, including research and industry, effectively functioning as a virtual home, marketplace, showroom, and deployment centre for all services, tools, resources, products and organisations active in the field. Today the ELG cloud platform already offers access to more than 13,000 language processing tools and language resources. It enables all stakeholders to deposit, upload and deploy their technologies and datasets. The platform also supports the long-term objective of establishing digital language equality in Europe by 2030 – to create a situation in which all European languages enjoy equal technological support.
This is the very first book dedicated to Language Technology and NLP platforms. Cloud technology has only recently matured enough to make the development of a platform like ELG feasible on a larger scale. The book comprehensively describes the results of the ELG project. Following an introduction, the content is divided into four main parts: (I) ELG Cloud Platform; (II) ELG Inventory of Technologies and Resources; (III) ELG Community and Initiative; and (IV) ELG Open Calls and Pilot Projects.
Reviews
Editors and Affiliations
About the editor
Prof. Georg Rehm works as a Principal Researcher in the Speech and Language Technology Department of the German Research Center for Artificial Intelligence (DFKI) in Berlin. He is the Coordinator of the EU project European Language Grid (ELG, 2019-2022) and the Co-coordinator of the European Language Equality EU projects (ELE, 2021-2022 and ELE2, 2022-2023). He has been involved as Coordinator or Principal Investigator in a number of large-scale research projects, including QURATOR, OpenGPT-X and NFDI for Data Science and AI. Rehm holds an MA in Computational Linguistics and Artificial Intelligence, Linguistics and Computer Science from the University of Osnabrück. After completing his PhD in Computational Linguistics at the University of Gießen, he worked at the University of Tübingen and at an award-winning internet start-up in Berlin. Rehm joined DFKI in 2010 and has authored, co-authored or edited more than 200 research publications and organised more than 30 scientific events.In 2018, he was awarded the honorary appointment as a DFKI Research Fellow for his outstanding scientific achievements and special accomplishments in technology transfer. In 2021, he was appointed honorary professor at Humboldt-Universität zu Berlin for his outstanding achievements in research and education.
Bibliographic Information
Book Title: European Language Grid
Book Subtitle: A Language Technology Platform for Multilingual Europe
Editors: Georg Rehm
Series Title: Cognitive Technologies
DOI: https://doi.org/10.1007/978-3-031-17258-8
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s) 2023
Hardcover ISBN: 978-3-031-17257-1Published: 02 November 2022
Softcover ISBN: 978-3-031-17260-1Published: 02 November 2022
eBook ISBN: 978-3-031-17258-8Published: 01 November 2022
Series ISSN: 1611-2482
Series E-ISSN: 2197-6635
Edition Number: 1
Number of Pages: XXX, 360
Number of Illustrations: 3 b/w illustrations, 81 illustrations in colour
Topics: Natural Language Processing (NLP), Computational Linguistics, Artificial Intelligence, Knowledge based Systems, Computer Applications, Computer Science, general