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
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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/) | ||||||||
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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: |
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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 |