Overview
- Presents the results of the ELE project, with key suggestions on achieving digital language equality in Europe by 2030
- Offers an in-depth analysis of the technology support for over 30 European languages
- Benefits students and researchers from language and speech technology, NLP, or language-centric AI
- 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 (45 chapters)
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Front Matter
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European Language Equality: Status Quo in 2022
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Front Matter
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Keywords
About this book
This open access book presents a comprehensive collection of the European Language Equality (ELE) project’s results, its strategic agenda and roadmap with key recommendations to the European Union on how to achieve digital language equality in Europe by 2030. The fabric of the EU linguistic landscape comprises 24 official languages and over 60 regional and minority languages. However, language barriers still hamper communication and the free flow of information. Multilingualism is a key cultural cornerstone of Europe, signifying what it means to be and to feel European. Various studies and resolutions have found a striking imbalance in the support of Europe’s languages through technologies, issuing a call to action.
Following an introduction, the book is divided into two parts. The first part describes the state of the art of language technology and language-centric AI and the definition and metrics developed to measure digital language equality. It also presents the status quo in 2022/2023, i.e., the current level of technology support for over 30 European languages. The second part describes plans and recommendations on how to bring about digital language equality in Europe by 2030. It includes chapters on the setup and results of the community consultation process, four technical deep dives, an overview of existing strategic documents and an abridged version of the strategic agenda and roadmap.
The recommendations have been prepared jointly with the European community in the fields of language technology, natural language processing, and language-centric AI, as well as with representatives of relevant initiatives and associations, language communities and regional and minority language groups. Ensuring appropriate technology support for all European languages will not only create jobs, growth and opportunities in the digital single market. Overcoming language barriers in the digital environment is also essential for an inclusive society and for providing unity in diversity for many years to come.
Editors and Affiliations
About the editors
Prof. Andy Way is a Full Professor in the School of Computing at Dublin City University, and Deputy Director of ADAPT, the SFI-funded Centre for Digital Content Technology, in Dublin, having previously also been a director of the Centre for Next Generation Localisation (CNGL). Prof. Way has been the lead researcher on thirteen EU projects, including European Language Equality and SignON, and has published over 400 peer-reviewed papers. His research interests include all aspects of machine translation: statistical MT, example-based MT, neural MT, rule-based MT, hybrid models of MT, MT evaluation, teaching MT, etc. He was the recipient of the 2015 DCU President’s Research Award for Science and Engineering, and in 2019 received the prestigious Award of Honour from the International Association for Machine Translation.
Bibliographic Information
Book Title: European Language Equality
Book Subtitle: A Strategic Agenda for Digital Language Equality
Editors: Georg Rehm, Andy Way
Series Title: Cognitive Technologies
DOI: https://doi.org/10.1007/978-3-031-28819-7
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s) 2023
Hardcover ISBN: 978-3-031-28818-0Published: 07 June 2023
Softcover ISBN: 978-3-031-28821-0Published: 07 June 2023
eBook ISBN: 978-3-031-28819-7Published: 06 June 2023
Series ISSN: 1611-2482
Series E-ISSN: 2197-6635
Edition Number: 1
Number of Pages: XXXIV, 412
Number of Illustrations: 1 b/w illustrations, 27 illustrations in colour
Topics: Natural Language Processing (NLP), Computational Linguistics, Artificial Intelligence, Knowledge based Systems, Computer Applications, Computer Science, general