Shah, K., Wang, J.K. orcid.org/0000-0003-0048-3893 and Specia, L. (2016) SHEF-Multimodal: Grounding Machine Translation on Images. In: Proceedings of the First Conference on Machine Translation. First Conference on Machine Translation (WMT16), 11-12 Aug 2016, Berlin, Germany. ACL , pp. 660-665.
Abstract
This paper describes the University of Sheffield’s submission for the WMT16 Multimodal Machine Translation shared task, where we participated in Task 1 to develop German-to-English and Englishto-German statistical machine translation (SMT) systems in the domain of image descriptions. Our proposed systems are standard phrase-based SMT systems based on the Moses decoder, trained only on the provided data. We investigate how image features can be used to re-rank the n-best list produced by the SMT model, with the aim of improving performance by grounding the translations on images. Our submissions are able to outperform the strong, text-only baseline system for both directions
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2016 Association for Computational Linguistics. Article licensed on a Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/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) |
Funding Information: | Funder Grant number EUROPEAN COMMISSION - HORIZON 2020 645357 EUROPEAN COMMISSION - HORIZON 2020 645452 ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCIL (EPSRC) EP/K019082/1 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 08 Jul 2016 11:44 |
Last Modified: | 08 Nov 2016 14:23 |
Published Version: | http://www.aclweb.org/anthology/W/W16/W16-2363.pdf |
Status: | Published |
Publisher: | ACL |
Refereed: | Yes |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:102140 |