Feature-Rich Phrase-based Translation: Stanford University's Submission to the WMT 2013 Translation Task

Spence Green; Daniel Cer; Kevin Reschke; Rob Voigt; John Bauer; Sida Wang; Natalia Silveira; Julia Neidert; Christopher D. Manning

Feature-Rich Phrase-based Translation: Stanford University's Submission to the WMT 2013 Translation Task

Spence Green, Daniel Cer, Kevin Reschke, Rob Voigt^*, John Bauer, Sida Wang, Natalia Silveira, Julia Neidert, Christopher D. Manning

^*Corresponding author for this work

Linguistics

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

2 Scopus citations

Abstract

We describe the Stanford University NLP Group submission to the 2013 Workshop on Statistical Machine Translation Shared Task. We demonstrate the effectiveness of a new adaptive, online tuning algorithm that scales to large feature and tuning sets. For both English-French and English-German, the algorithm produces feature-rich models that improve over a dense baseline and compare favorably to models tuned with established methods.

Original language	English (US)
Title of host publication	WMT 2013 - 8th Workshop on Statistical Machine Translation, Proceedings
Editors	Ondrej Bojar, Christian Buck, Chris Callison-Burch, Barry Haddow, Philipp Koehn, Christof Monz, Matt Post, Herve Saint-Amand, Radu Soricut, Lucia Specia
Publisher	Association for Computational Linguistics (ACL)
Pages	148-153
Number of pages	6
ISBN (Electronic)	9781937284572
State	Published - 2013
Event	8th Workshop on Statistical Machine Translation, WMT 2013 - Sofia, Bulgaria Duration: Aug 8 2013 → Aug 9 2013

Publication series

Name	Proceedings of the Annual Meeting of the Association for Computational Linguistics
ISSN (Print)	0736-587X

Conference

Conference	8th Workshop on Statistical Machine Translation, WMT 2013
Country/Territory	Bulgaria
City	Sofia
Period	8/8/13 → 8/9/13

ASJC Scopus subject areas

Computer Science Applications
Linguistics and Language
Language and Linguistics

Cite this

Green, S., Cer, D., Reschke, K., Voigt, R., Bauer, J., Wang, S., Silveira, N., Neidert, J., & Manning, C. D. (2013). Feature-Rich Phrase-based Translation: Stanford University's Submission to the WMT 2013 Translation Task. In O. Bojar, C. Buck, C. Callison-Burch, B. Haddow, P. Koehn, C. Monz, M. Post, H. Saint-Amand, R. Soricut, & L. Specia (Eds.), WMT 2013 - 8th Workshop on Statistical Machine Translation, Proceedings (pp. 148-153). (Proceedings of the Annual Meeting of the Association for Computational Linguistics). Association for Computational Linguistics (ACL).

Green, Spence ; Cer, Daniel ; Reschke, Kevin et al. / Feature-Rich Phrase-based Translation : Stanford University's Submission to the WMT 2013 Translation Task. WMT 2013 - 8th Workshop on Statistical Machine Translation, Proceedings. editor / Ondrej Bojar ; Christian Buck ; Chris Callison-Burch ; Barry Haddow ; Philipp Koehn ; Christof Monz ; Matt Post ; Herve Saint-Amand ; Radu Soricut ; Lucia Specia. Association for Computational Linguistics (ACL), 2013. pp. 148-153 (Proceedings of the Annual Meeting of the Association for Computational Linguistics).

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title = "Feature-Rich Phrase-based Translation: Stanford University's Submission to the WMT 2013 Translation Task",

abstract = "We describe the Stanford University NLP Group submission to the 2013 Workshop on Statistical Machine Translation Shared Task. We demonstrate the effectiveness of a new adaptive, online tuning algorithm that scales to large feature and tuning sets. For both English-French and English-German, the algorithm produces feature-rich models that improve over a dense baseline and compare favorably to models tuned with established methods.",

author = "Spence Green and Daniel Cer and Kevin Reschke and Rob Voigt and John Bauer and Sida Wang and Natalia Silveira and Julia Neidert and Manning, {Christopher D.}",

note = "Funding Information: Acknowledgments This work was supported by the Defense Advanced Research Projects Agency (DARPA) Broad Operational Language Translation (BOLT) program through IBM. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the view of DARPA or the US government. Publisher Copyright: {\textcopyright} 2013 Association for Computational Linguistics; 8th Workshop on Statistical Machine Translation, WMT 2013 ; Conference date: 08-08-2013 Through 09-08-2013",

year = "2013",

language = "English (US)",

series = "Proceedings of the Annual Meeting of the Association for Computational Linguistics",

publisher = "Association for Computational Linguistics (ACL)",

pages = "148--153",

editor = "Ondrej Bojar and Christian Buck and Chris Callison-Burch and Barry Haddow and Philipp Koehn and Christof Monz and Matt Post and Herve Saint-Amand and Radu Soricut and Lucia Specia",

booktitle = "WMT 2013 - 8th Workshop on Statistical Machine Translation, Proceedings",

}

Green, S, Cer, D, Reschke, K, Voigt, R, Bauer, J, Wang, S, Silveira, N, Neidert, J & Manning, CD 2013, Feature-Rich Phrase-based Translation: Stanford University's Submission to the WMT 2013 Translation Task. in O Bojar, C Buck, C Callison-Burch, B Haddow, P Koehn, C Monz, M Post, H Saint-Amand, R Soricut & L Specia (eds), WMT 2013 - 8th Workshop on Statistical Machine Translation, Proceedings. Proceedings of the Annual Meeting of the Association for Computational Linguistics, Association for Computational Linguistics (ACL), pp. 148-153, 8th Workshop on Statistical Machine Translation, WMT 2013, Sofia, Bulgaria, 8/8/13.

Feature-Rich Phrase-based Translation: Stanford University's Submission to the WMT 2013 Translation Task. / Green, Spence; Cer, Daniel; Reschke, Kevin et al.
WMT 2013 - 8th Workshop on Statistical Machine Translation, Proceedings. ed. / Ondrej Bojar; Christian Buck; Chris Callison-Burch; Barry Haddow; Philipp Koehn; Christof Monz; Matt Post; Herve Saint-Amand; Radu Soricut; Lucia Specia. Association for Computational Linguistics (ACL), 2013. p. 148-153 (Proceedings of the Annual Meeting of the Association for Computational Linguistics).

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

TY - GEN

T1 - Feature-Rich Phrase-based Translation

T2 - 8th Workshop on Statistical Machine Translation, WMT 2013

AU - Green, Spence

AU - Cer, Daniel

AU - Reschke, Kevin

AU - Voigt, Rob

AU - Bauer, John

AU - Wang, Sida

AU - Silveira, Natalia

AU - Neidert, Julia

AU - Manning, Christopher D.

N1 - Funding Information: Acknowledgments This work was supported by the Defense Advanced Research Projects Agency (DARPA) Broad Operational Language Translation (BOLT) program through IBM. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the view of DARPA or the US government. Publisher Copyright: © 2013 Association for Computational Linguistics

PY - 2013

Y1 - 2013

N2 - We describe the Stanford University NLP Group submission to the 2013 Workshop on Statistical Machine Translation Shared Task. We demonstrate the effectiveness of a new adaptive, online tuning algorithm that scales to large feature and tuning sets. For both English-French and English-German, the algorithm produces feature-rich models that improve over a dense baseline and compare favorably to models tuned with established methods.

AB - We describe the Stanford University NLP Group submission to the 2013 Workshop on Statistical Machine Translation Shared Task. We demonstrate the effectiveness of a new adaptive, online tuning algorithm that scales to large feature and tuning sets. For both English-French and English-German, the algorithm produces feature-rich models that improve over a dense baseline and compare favorably to models tuned with established methods.

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M3 - Conference contribution

AN - SCOPUS:84900803470

T3 - Proceedings of the Annual Meeting of the Association for Computational Linguistics

SP - 148

EP - 153

BT - WMT 2013 - 8th Workshop on Statistical Machine Translation, Proceedings

A2 - Bojar, Ondrej

A2 - Buck, Christian

A2 - Callison-Burch, Chris

A2 - Haddow, Barry

A2 - Koehn, Philipp

A2 - Monz, Christof

A2 - Post, Matt

A2 - Saint-Amand, Herve

A2 - Soricut, Radu

A2 - Specia, Lucia

PB - Association for Computational Linguistics (ACL)

Y2 - 8 August 2013 through 9 August 2013

ER -

Green S, Cer D, Reschke K, Voigt R, Bauer J, Wang S et al. Feature-Rich Phrase-based Translation: Stanford University's Submission to the WMT 2013 Translation Task. In Bojar O, Buck C, Callison-Burch C, Haddow B, Koehn P, Monz C, Post M, Saint-Amand H, Soricut R, Specia L, editors, WMT 2013 - 8th Workshop on Statistical Machine Translation, Proceedings. Association for Computational Linguistics (ACL). 2013. p. 148-153. (Proceedings of the Annual Meeting of the Association for Computational Linguistics).

Feature-Rich Phrase-based Translation: Stanford University's Submission to the WMT 2013 Translation Task

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