Galanis, D., Labropoulou, P., Roberts, I. orcid.org/0000-0002-7296-5851 et al. (7 more authors) (2022) Contributing to the European Language Grid as a provider. In: Rehm, G., (ed.) European Language Grid: A Language Technology Platform for Multilingual Europe. Cognitive Technologies . Springer Cham , Cham , pp. 67-93. ISBN 978-3-031-17257-1
Abstract
The ELG platform enables producers of language resources and language technology tools and services to upload, describe, share, and distribute their services and products as well as to describe their companies, academic organisations and projects. This chapter presents the functionalities offered through web-based user interfaces for describing LT resources or related entities with metadata and for managing their publication. It gives a detailed description of the options that providers of LT tools can exploit to integrate them into ELG as ready-to-deploy services and the tools that ELG offers in their support during the preparation, upload and integration phases. The tools and packaging recommendations for resources to be uploaded in ELG are also presented. The chapter concludes with a discussion of functionalities offered to providers by ELG and other related platforms.
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. |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 04 Nov 2022 17:18 |
Last Modified: | 04 Nov 2022 17:18 |
Published Version: | https://doi.org/10.1007/978-3-031-17258-8_4 |
Status: | Published |
Publisher: | Springer Cham |
Series Name: | Cognitive Technologies |
Refereed: | Yes |
Identification Number: | 10.1007/978-3-031-17258-8_4 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:193005 |