Edinburgh's Statistical Machine Translation Systems for WMT16

Philip Williams; Rico Sennrich; Maria Nadejde; Matthias Huck; Barry Haddow; Ondrej Bojar

doi:10.18653/v1/W16-2327

Edinburgh's Statistical Machine Translation Systems for WMT16

Philip Williams, Rico Sennrich, Maria Nadejde, Matthias Huck, Barry Haddow, Ondrej Bojar

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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 syntax based systems for the news task, plus one phrase-based system for the biomedical task.

Original language	English
Title of host publication	Proceedings of the First Conference on Machine Translation, Volume 2: Shared Task Papers
Place of Publication	Berlin, Germany
Publisher	Association for Computational Linguistics
Pages	399-410
Number of pages	12
ISBN (Electronic)	978-1-945626-10-4
DOIs	https://doi.org/10.18653/v1/W16-2327
Publication status	Published - 12 Aug 2016
Event	First Conference on Machine Translation - Berlin, Germany Duration: 11 Aug 2016 → 12 Aug 2016 http://www.statmt.org/wmt16/

Conference

Conference	First Conference on Machine Translation
Abbreviated title	WMT16
Country/Territory	Germany
City	Berlin
Period	11/08/16 → 12/08/16
Internet address	http://www.statmt.org/wmt16/

Access to Document

10.18653/v1/W16-2327Licence: Creative Commons: Attribution (CC-BY)

W16-2327Accepted author manuscript, 149 KB

http://www.aclweb.org/anthology/W16-2327 Licence: Creative Commons: Attribution (CC-BY)

Translation for Massive Open Online Courses- TraMooc
Koehn, P. (Principal Investigator) & Birch-Mayne, A. (Co-investigator)
EU government bodies
1/02/15 → 31/01/18
Project: Research
QT21: Quality Translation 21
Koehn, P. (Principal Investigator), Haddow, B. (Co-investigator) & Huck, M. (Co-investigator)
EU government bodies
1/02/15 → 31/01/18
Project: Research
HimL: Health in my Language
Haddow, B. (Principal Investigator), Birch-Mayne, A. (Co-investigator) & Webber, B. (Co-investigator)
EU government bodies
1/02/15 → 31/01/18
Project: Research

Cite this

@inproceedings{2281644643104d7b944ff1f2da12e611,

title = "Edinburgh's Statistical Machine Translation Systems for WMT16",

abstract = "This paper describes the University of Edinburgh{\textquoteright}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 syntax based systems for the news task, plus one phrase-based system for the biomedical task. ",

author = "Philip Williams and Rico Sennrich and Maria Nadejde and Matthias Huck and Barry Haddow and Ondrej Bojar",

year = "2016",

month = aug,

day = "12",

doi = "10.18653/v1/W16-2327",

language = "English",

pages = "399--410",

booktitle = "Proceedings of the First Conference on Machine Translation, Volume 2: Shared Task Papers",

publisher = "Association for Computational Linguistics",

note = "First Conference on Machine Translation, WMT16 ; Conference date: 11-08-2016 Through 12-08-2016",

url = "http://www.statmt.org/wmt16/",

}

Williams, P, Sennrich, R, Nadejde, M, Huck, M, Haddow, B & Bojar, O 2016, Edinburgh's Statistical Machine Translation Systems for WMT16. in Proceedings of the First Conference on Machine Translation, Volume 2: Shared Task Papers. Association for Computational Linguistics, Berlin, Germany, pp. 399-410, First Conference on Machine Translation, Berlin, Germany, 11/08/16. https://doi.org/10.18653/v1/W16-2327

Edinburgh's Statistical Machine Translation Systems for WMT16. / Williams, Philip; Sennrich, Rico; Nadejde, Maria et al.
Proceedings of the First Conference on Machine Translation, Volume 2: Shared Task Papers. Berlin, Germany: Association for Computational Linguistics, 2016. p. 399-410.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Edinburgh's Statistical Machine Translation Systems for WMT16

AU - Williams, Philip

AU - Sennrich, Rico

AU - Nadejde, Maria

AU - Huck, Matthias

AU - Haddow, Barry

AU - Bojar, Ondrej

PY - 2016/8/12

Y1 - 2016/8/12

N2 - 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 syntax based systems for the news task, plus one phrase-based system for the biomedical task.

AB - 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 syntax based systems for the news task, plus one phrase-based system for the biomedical task.

U2 - 10.18653/v1/W16-2327

DO - 10.18653/v1/W16-2327

M3 - Conference contribution

SP - 399

EP - 410

BT - Proceedings of the First Conference on Machine Translation, Volume 2: Shared Task Papers

PB - Association for Computational Linguistics

CY - Berlin, Germany

T2 - First Conference on Machine Translation

Y2 - 11 August 2016 through 12 August 2016

ER -

Edinburgh's Statistical Machine Translation Systems for WMT16

Abstract

Conference

Access to Document

Fingerprint

Projects

Translation for Massive Open Online Courses- TraMooc

QT21: Quality Translation 21

HimL: Health in my Language

Cite this