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Institute of Formal and Applied Linguistics

at Faculty of Mathematics and Physics, Charles University, Prague, Czech Republic


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Publication


Year 2016
Type in proceedings
Status published
Language English
Author(s) Williams, Phil Sennrich, Rico Nadejde, Maria Huck, Matthias Haddow, Barry Bojar, Ondřej
Title Edinburgh’s Statistical Machine Translation Systems for WMT16
Czech title Edinburské statistické překladové systémy pro WMT16
Proceedings 2016: Stroudsburg, PA, USA: WMT 2016 (ACL): Proceedings of the First Conference on Machine Translation (WMT). Volume 2: Shared Task Papers
Pages range 399-410
How published online
URL http://www.statmt.org/wmt16/pdf/W16-2327.pdf
Supported by 2015-2018 H2020-ICT-2014-1-645452 (QT21: Quality Translation 21) 2015-2018 H2020-ICT-2014-1-644402 (Himl (Health in my Language)) 2012-2016 PRVOUK P46 (Informatika)
Czech abstract Článek popisuje frázové a syntaktické překladové systémy Univerzity v Edinburku účastnící se soutěžní překladového úlohy WMT16.
English 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.
Specialization linguistics ("jazykověda")
Confidentiality default – not confidential
Open access no
DOI http://dx.doi.org/10.18653/v1/w16-2327
Editor(s)* Ondřej Bojar; et al .
ISBN* 978-1-945626-10-4
Address* Stroudsburg, PA, USA
Month* August
Venue* Humboldt University
Publisher* Association for Computational Linguistics
Institution* Association for Computational Linguistics
Creator: Common Account
Created: 9/6/16 3:55 PM
Modifier: Almighty Admin
Modified: 2/25/17 10:07 PM
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Content, Design & Functionality: ÚFAL, 2006–2016. Page generated: Sat Sep 23 23:55:51 CEST 2017

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