Roberts, I. orcid.org/0000-0002-7296-5851, Silva, A.G., Aroca, C.B. et al. (7 more authors) (2022) Language technology tools and services. In: Rehm, G., (ed.) European Language Grid: A Language Technology Platform for Multilingual Europe. Cognitive Technologies . Springer Cham , Cham , pp. 131-149. ISBN 978-3-031-17257-1
Abstract
At the time of writing, the European Language Grid includes more than 800 LT services of varied types, including machine translation (MT), automatic speech recognition (ASR), text-to-speech synthesis (TTS), and text analysis ranging from simple tokenisers and part-of-speech taggers through to complete named entity recognition and sentiment analysis systems. This chapter gives a high-level summary of the development of the ELG service catalogue over time and digs deeper to discuss the process of service integration by looking at a few example services.
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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) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 04 Nov 2022 17:05 |
Last Modified: | 04 Nov 2022 17:05 |
Status: | Published |
Publisher: | Springer Cham |
Series Name: | Cognitive Technologies |
Refereed: | Yes |
Identification Number: | 10.1007/978-3-031-17258-8_7 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:193006 |