Taming Structured Perceptrons on Wild Feature Vectors

Proceedings of the Annual Meeting of the Association for Computational Linguistics

Volumn , Issue , 2010, Pages 384-391

  Brown, Ralf D ^a  

^a CARNEGIE MELLON UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS;

BINARY FEATURES; COORDINATE ASCENT; FEATURE WEIGHT; FEATURES VECTOR; LINEAR FEATURE; MACHINE TRANSLATION SYSTEMS; MINIMUM ERROR RATE TRAININGS; PERFORMANCE; SKEWED DISTRIBUTION; TRANSLATION SYSTEMS;

MACHINE TRANSLATION;

EID: 80054802133     PISSN: 0736587X     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (19)

1. Abhishek Arun and Phillip Koehn. 2007. Online Learning Methods for Discriminative Training of Phrase Based Statistical Machine Translation. In Proceedings of the Eleventh Machine Translation Summit (MT Summit XI).
2. Satanjeev Banerjee and Alon Lavie. 2005. METEOR: An Automatic Metric for MT Evaluation with Improved Correlation with Human Judgements. In Proceedings of the Workshop on Intrinsic and Extrinsic Evaluation Measures for MT and/or Summarization at the 43rd Annual Meeting of the Association for Computational Linguistics (ACL-2005), June.
3. Nicola Bertoldi, Barry Haddow, and Jean-Baptiste Fouet. 2009. Improved Minimum Error Rate Training in Moses. The Prague Bulletin of Mathematical Linguistics, pages 1–11, February.
4. Ralf D. Brown. 1996. Example-Based Machine Translation in the PANGLOSS System. In Proceedings of the Sixteenth International Conference on Computational Linguistics, pages 169–174, Copenhagen, Denmark. http://www.cs.cmu.edu/ralf/papers.html.
5. Ralf D. Brown. 2008. Exploiting Document-Level Context for Data-Driven Machine Translation. In Proceedings of the Eighth Conference of the Association for Machine Translation in the Americas (AMTA-2008), October. http://www.amtaweb.org/papers/2.02 Brown.pdf.
6. Carnegie Mellon University. 2010. Public release of haitian-creole language data, January. http://www.speech.cs.cmu.edu/haitian/text.
7. David Chiang, Yuval Marton, and Philis Resnik. 2008. Online Large-Margin Training of Syntactic and Structural Translation Features. In Proceedings of the Conference on Empirical Methods in Natural Langauge Processing (EMNLP-2008), pages 224–233, October.
8. Michael Collins. 2002. Discriminative Training Methods for Hidden Markov Models: Theory and Experiments with Perceptron Algorithms. In Proceedings of EMNLP-2002. http://people.csail.mit.edu/mcollins/papers/tagperc.pdf.
9. Koby Crammer, Ofer Deke, Joseph Keshet, Shai Shalev-Shwartz, and Yoram Singer. 2006. Online Passive-Aggressive Algorithms. The Journal of Machine Learning Research, 7:551–585, December.
10. Koby Cranmer and Yoram Singer. 2003. Ultraconservative Online Algorithms for Multiclass Problems. The Journal of Machine Learning Research, 3:951–991, March.
11. Philipp Koehn. 2005. Europarl: A Parallel Corpus for Statistical Machine Translation. In Proceedings of the Tenth Machine Translation Summit (MT Summix X), pages 79–86.
12. Chin-Yew Lin and Franz Joseph Och. 2004a. Automatic Evaluation of Machine Translation Quality using Longest Common Subsequence and Skip-Bigram Statistics. In Proceedings of ACL-2004.
13. Chin-Yew Lin and Franz Joseph Och. 2004b. ORANGE: A Method for Evaluating Automatic Evaluation Metrics for Machine Translation. In Proceedings of the 20th International Conference on Computational Linguistics (COLING 2004).
14. USC Information Sciences Institute Natural Language Group. 2001. Aligned Hansards of the 36th Parliament of Canada, Release 2001-1a. http://www.isi.edu/natural-language/download/hansard/.
15. Franz Josef Och. 2003. Minimum Error Rate Training in Statistical Machine Translation. In Proceedings of the 41st Meeting of the Association for Computational Linguistics (ACL-2003), Sapporo, Japan, July 6–7.
16. Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu. 2002. BLEU: a Method for Automatic Evaluation of Machine Translation. In Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics, July. http://acl.ldc.upenn.edu/P/P02/.
17. Aaron B. Phillips and Ralf D. Brown. 2009. Cunei Machine Translation Platform: System Description. In Proceedings of the Third Workshop on Example-Based Machine Translation, Dublin, Ireland, November.
18. Aaron B. Phillips. 2010. The Cunei Machine Translation Platform for WMT’10. In Proceedings of the ACL 2010 Joint Fifth Workshop on Statistical Machine Translation and Metrics MATR, July.
19. F. Rosenblatt. 1958. The Perceptron: A Probabilistic Model for Information Storage and Organization in the Brain. Psychological Review, 65:386–408.