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Edinburgh's Statistical Machine Translation Systems for WMT16

descriptionPublicationkeyboard_double_arrow_right Article , Other literature type , Contribution for newspaper or weekly magazine , Conference object 01 Jan 2016 Czech Republic, Germany, United Kingdom Publisher:Association for Computational Linguistics (ACL)Journal:Proceedings of the First Conference on Machine Translation: Volume 2, Shared Task PapersFunded by:EC | HimL, EC | QT21, EC | TraMOOC
Authors: Williams, Philip; Sennrich, Rico; Nadejde, Maria; Huck, Matthias; Haddow, Barry; Bojar, Ondřej;

doi: 10.18653/v1/w16-2327

handle: 20.500.11820/22816446-4310-4d7b-944f-f1f2da12e611 , 11346/BIBLIO@id=2993942420758120224

Edinburgh's Statistical Machine Translation Systems for WMT16

Abstract

This paper describes the University of Edinburgh’s phrase-based and syntax-based submissions to the shared translation tasks of the ACL 2016 First Conference on Machine Translation (WMT16). We submitted five phrase-based and five syntaxbased systems for the news task, plus one phrase-based system for the biomedical task.

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Czech Republic, Germany, United Kingdom
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
14
Top 10%
Top 10%
Top 10%
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