Frank, S., Elliott, D. and Specia, L. orcid.org/0000-0002-5495-3128 (2018) Assessing multilingual multimodal image description: Studies of native speaker preferences and translator choices. Natural Language Engineering, 24 (3). pp. 393-413. ISSN 1351-3249
Abstract
Two studies on multilingual multimodal image description provide empirical evidence towards two hypotheses at the core of the task: (i) whether target language speakers prefer descriptions generated directly in their native language, as compared to descriptions translated from a different language; (ii) the role of the image in human translation of descriptions. These results provide guidance for future work in multimodal natural language processing by firstly showing that on the whole, translations are not distinguished from native language descriptions, and secondly delineating and quantifying the information gained from the image during the human translation task.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2018 Cambridge University Press. This is an author produced version of a paper subsequently published in Natural Language Engineering. Article available under the terms of the CC-BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
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: | 20 Jun 2018 12:22 |
Last Modified: | 19 May 2020 12:54 |
Published Version: | https://doi.org/10.1017/S1351324918000074 |
Status: | Published |
Publisher: | Cambridge University Press |
Refereed: | Yes |
Identification Number: | 10.1017/S1351324918000074 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:132085 |