Roberts, I. orcid.org/0000-0002-7296-5851, Labropoulou, P., Galanis, D. et al. (5 more authors) (2022) Using the European Language Grid as a consumer. In: Rehm, G., (ed.) European Language Grid: A Language Technology Platform for Multilingual Europe. Cognitive Technologies . Springer Cham , Cham , pp. 37-66. ISBN 978-3-031-17257-1
Abstract
This chapter describes the European Language Grid cloud platform from the point of view of a consumer who wishes to access language resources or make use of language technology tools and services. Three aspects are discussed: 1. the webbased user interface (UI) for casual and non-technical users, 2. the underlying REST APIs that drive the UI but can also be called directly by third parties to integrate ELG functionality in their own tools, and 3. the Python Software Development Kit (SDK) that we have developed to simplify access to these APIs from Python code. The chapter concludes with a preview of the upcoming payment module that will enable the sale of commercial LT services and resources through ELG, and a discussion of how ELG compares and relates to other similar platforms and initiatives.
Metadata
Item Type: | Book Section |
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Copyright, Publisher and Additional Information: | © 2023 The Author(s). Open Access: This chapter is licensed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made. The images or other third party material in this chapter are included in the chapter's Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the chapter's Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield) |
Funding Information: | Funder Grant number EUROPEAN COMMISSION - HORIZON 2020 825627 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 04 Nov 2022 17:13 |
Last Modified: | 04 Nov 2022 17:13 |
Status: | Published |
Publisher: | Springer Cham |
Series Name: | Cognitive Technologies |
Refereed: | Yes |
Identification Number: | 10.1007/978-3-031-17258-8_3 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:193003 |