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ProphetMT: a tree-based SMT-driven controlled language authoring/post-editing tools

Wu, Xiaofeng, Du, Jinhua orcid logoORCID: 0000-0002-3267-4881 and Way, Andy orcid logoORCID: 0000-0001-5736-5930 (2016) ProphetMT: a tree-based SMT-driven controlled language authoring/post-editing tools. In: Tenth International Conference on Language Resources and Evaluation (LREC 2016), 23-28 May 2016, Portorož, Slovenia. ISBN 978-2-9517408-9-1

Abstract
This paper presents ProphetMT, a tree-based SMT-driven Controlled Language (CL) authoring and post-editing tool. ProphetMT employs the source-side rules in a translation model and provides them as auto-suggestions to users. Accordingly, one might say that users are writing in a ‘Controlled Language’ that is ‘understood’ by the computer. ProphetMT also allows users to easily attach structural information as they compose content. When a specific rule is selected, a partial translation is promptly generated on-the-fly with the help of the structural information. Our experiments conducted on English-to-Chinese show that our proposed ProphetMT system can not only better regularise an author’s writing behaviour, but also significantly improve translation fluency which is vital to reduce the post-editing time. Additionally, when the writing and translation process is over, ProphetMT can provide an effective colour scheme to further improve the productivity of post-editors by explicitly featuring the relations between the source and target rules.
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Uncontrolled Keywords:Controlled Language; Authoring Tool; Post-Editing; Statistical Machine Translation
Subjects:Computer Science > Machine translating
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Research Initiatives and Centres > ADAPT
Published in: Calzolari, Nicoletta, Choukri, Khalid, Declerck, Thierry and Goggi, Sara, (eds.) Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016). . European Language Resources Association. ISBN 978-2-9517408-9-1
Publisher:European Language Resources Association
Official URL:http://www.lrec-conf.org/proceedings/lrec2016/pdf/...
Copyright Information:© 2016 ELRA
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
ID Code:23244
Deposited On:01 May 2019 14:53 by Thomas Murtagh . Last Modified 01 May 2019 14:53
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