Mr. MIRA: Open-source large-margin structured learning on MapReduce

Proceedings of the Annual Meeting of the Association for Computational Linguistics

Volumn 2013-August, Issue , 2013, Pages 199-204

  Eidelman, Vladimir ^a   Wu, Ke ^a   Ture, Ferhan ^a   Resnik, Philip ^a   Lin, Jimmy ^a  

^a UNIVERSITY OF MARYLAND   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; COMPUTER AIDED LANGUAGE TRANSLATION; DECODING; LEARNING SYSTEMS; MACHINE TRANSLATION; NATURAL LANGUAGE PROCESSING SYSTEMS;

HADOOP STREAMING; INFERENCE PROBLEM; LARGE MARGINS; LARGE-SCALES; MAP-REDUCE; OPEN SOURCE FRAMEWORKS; OPEN-SOURCE; SCALINGS; STATISTICAL MACHINE TRANSLATION; STRUCTURED LEARNING;

MAPREDUCE;

EID: 84906928780     PISSN: 0736587X     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (19)

1. S. Chen and J. Goodman. 1996. An empirical study of smoothing techniques for language modeling. In ACL.
2. D. Chiang, K. Knight, and W. Wang. 2009. 11,001 new features for statistical machine translation. In NAACL-HLT.
3. D. Chiang. 2012. Hope and fear for discriminative training of statistical translation models. JMLR, 13:1159–1187.
4. M. Collins. 2002. Ranking algorithms for named-entity extraction: boosting and the voted perceptron. In ACL.
5. K. Crammer, O. Dekel, J. Keshet, S. Shalev-Shwartz, and Y. Singer. 2006. Online passive-aggressive algorithms. JMLR, 7:551–585.
6. K. Crammer, A. Kulesza, and M. Dredze. 2009. Adaptive regularization of weight vectors. In NIPS.
7. J. Dean and S. Ghemawat. 2004. MapReduce: Simplified data processing on large clusters. In OSDI.
8. J. Duchi, E. Hazan, and Y. Singer. 2011. Adaptive subgradient methods for online learning and stochastic optimization. JMLR, 12:2121–2159.
9. C. Dyer, A. Lopez, J. Ganitkevitch, J. Weese, F. Ture, P. Blunsom, H. Setiawan, V. Eidelman, and P. Resnik. 2010. cdec: A decoder, alignment, and learning framework for finite-state and context-free translation models. In ACL System Demonstrations.
10. S. Green, S. Wang, D. Cer, and C. Manning. 2013. Fast and adaptive online training of feature-rich translation models. In ACL.
11. B. Haddow and P. Koehn. 2012. Analysing the effect of out-of-domain data on smt systems. In WMT.
12. B. Haddow, A. Arun, and P. Koehn. 2011. SampleRank training for phrase-based machine translation. In WMT.
13. T. Joachims. 1998. Text categorization with support vector machines: Learning with many relevant features. In ECML.
14. J. Lafferty, A. McCallum, and F. Pereira. 2001. Conditional random fields: Probabilistic models for segmenting and labeling sequence data. In ICML.
15. R. McDonald, K. Crammer, and F. Pereira. 2005. Online large-margin training of dependency parsers. In ACL.
16. K. Papineni, S. Roukos, T. Ward, and W.-J. Zhu. 2002. BLEU: a method for automatic evaluation of machine translation. In ACL.
17. L. Shen. 2007. Guided learning for bidirectional sequence classification. In ACL.
18. P. Simianer, S. Riezler, and C. Dyer. 2012. Joint feature selection in distributed stochastic learning for large-scale discriminative training in SMT. In ACL.
19. M. Snover, B. Dorr, R. Schwartz, L. Micciulla, and J. Makhoul. 2006. A study of translation edit rate with targeted human annotation. In AMTA.