Fomicheva, M. and Specia, L. orcid.org/0000-0002-5495-3128 (2016) Reference bias in monolingual machine translation evaluation. In: 54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 - Short Papers. The 54th Annual Meeting of the Association for Computational Linguistics, 07-12 Aug 2016, Berlin, Germany. ACL Home Association for Computational Linguistics , pp. 77-82. ISBN 9781510827592
Abstract
In the translation industry, human translations are assessed by comparison with the source texts. In the Machine Translation (MT) research community, however, it is a common practice to perform quality assessment using a reference translation instead of the source text. In this paper we show that this practice has a serious issue - annotators are strongly biased by the reference translation provided, and this can have a negative impact on the assessment of MT quality.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2016 ACL. Available under a Creative Commons Attribution 4.0 License. |
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: | 26 Jun 2018 09:05 |
Last Modified: | 19 Dec 2022 13:49 |
Published Version: | http://www.aclweb.org/anthology/P16-2013 |
Status: | Published |
Publisher: | ACL Home Association for Computational Linguistics |
Refereed: | Yes |
Identification Number: | 10.18653/v1/P16-2013 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:132083 |