Machine translation quality estimation across domains

COLING 2014 - 25th International Conference on Computational Linguistics, Proceedings of COLING 2014: Technical Papers

Volumn , Issue , 2014, Pages 409-420

  De Souza, José G C ^a   Turchi, Marco ^b   Negri, Matteo ^b  

^a UNIVERSITY OF TRENTO   (Italy)

^b FONDAZIONE BRUNO KESSLER   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER AIDED LANGUAGE TRANSLATION; LEARNING SYSTEMS; LINGUISTICS; TRANSLATION (LANGUAGES);

DIFFERENT DOMAINS; MACHINE TRANSLATIONS; MULTITASK LEARNING; QUALITY ESTIMATION; STATE-OF-THE-ART METHODS; SYSTEM OUTPUT; TRAINING DATA; WITHOUT REFERENCE TRANSLATIONS;

COMPUTATIONAL LINGUISTICS;

EID: 84943768758     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (43)

1. Andreas Argyriou, Theodoros Evgeniou, and Massimiliano Pontil. 2007. Multi-task feature learning. In Advances in neural information processing systems, volume 19.
2. Daniel Beck, Kashif Shah, Trevor Cohn, and Lucia Specia. 2013. SHEF-Lite: When less is more for translation quality estimation. In Proceedings of the Eighth Workshop on Statistical Machine Translation, pages 337-342.
3. James Bergstra and Yoshua Bengio. 2012. Random Search for Hyper-Parameter Optimization. Journal of Machine Learning Research, 13:281-305.
4. Joseph John Blatz, Erin Fitzgerald, George Foster, Simona Gandrabur, Cyril Goutte, Alex Kulesza, Alberto Sanchis, and Nicola Ueffing. 2003. Confidence estimation for machine translation. In 20th COLING, pages 315-321.
5. John Blitzer, Ryan McDonald, and Fernando Pereira. 2006. Domain adaptation with structural correspondence learning. In Proceedings of the Conference on Empirical Methods in Natural Language Processing, pages 120-128, Morristown, NJ, USA. Association for Computational Linguistics.
6. Ondej Bojar, Christian Buck, Chris Callison-Burch, Christian Federmann, Barry Haddow, Philipp Koehn, Christof Monz, Matt Post, Radu Soricut, and Lucia Specia. 2013. Findings of the 2013Workshop on Statistical Machine Translation. In Eighth Workshop on Statistical Machine Translation, pages 1-44.
7. Christian Buck. 2012. Black Box Features for the WMT 2012 Quality Estimation Shared Task. In Proceedings of the 7th Workshop on Statistical Machine Translation, pages 91-95.
8. Chris Callison-Burch, Philipp Koehn, Christof Monz, Matt Post, Radu Soricut, and Lucia Specia. 2012. Findings of the 2012 Workshop on Statistical Machine Translation. In Proceedings of the 7th Workshop on Statistical Machine Translation, pages 10-51, Montreal, Canada, June. Association for Computational Linguistics.
9. Rich Caruana. 1997. Multitask Learning. Machine learning, 28(1):41-75.
10. Jianhui Chen, Jiayu Zhou, and Jieping Ye. 2011. Integrating low-rank and group-sparse structures for robust multitask learning. In Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '11, page 42, New York, New York, USA. ACM Press.
11. Jianhui Chen, Ji Liu, and Jieping Ye. 2012. Learning incoherent sparse and low-rank patterns from multiple tasks. ACM Transactions on Knowledge Discovery from Data, 5(4):22, February.
12. Trevor Cohn and Lucia Specia. 2013. Modelling Annotator Bias with Multi-task Gaussian Processes: An application to Machine Translation Quality Estimation. In Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, pages 32-42.
13. Hal Daumé III. 2007. Frustratingly Easy Domain Ddaptation. In Conference of the Association for Computational Linguistics (ACL).
14. José G. C. de Souza, Christian Buck, Marco Turchi, and Matteo Negri. 2013a. FBK-UEdin participation to the WMT13 Quality Estimation shared-task. In Proceedings of the Eighth Workshop on Statistical Machine Translation, pages 352-358.
15. José G.C. de Souza, Miquel Esplá-Gomis, Marco Turchi, and Matteo Negri. 2013b. Exploiting qualitative information from automatic word alignment for cross-lingual nlp tasks. In Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 771-776, Sofia, Bulgaria, August. Association for Computational Linguistics.
16. Janez Demšar. 2006. Statistical Comparisons of Classifiers over Multiple Data Sets. The Journal of Machine Learning Research, 7:1-30, December.
17. Milton Friedman. 1937. The Use of Ranks to Avoid the Assumption of Normality Implicit in the Analysis of Variance. Journal of the American Statistical Association, 32(200):675-701.
18. Milton Friedman. 1940. A Comparison of Alternative Tests of Significance for the Problem of m Rankings. The Annals of Mathematical Statistics, 11(1):86-92.
19. Salvador Garcia and Francisco Herrera. 2008. An Extension on "Statistical Comparisons of Classifiers over Multiple Data Sets" for all Pairwise Comparisons. Journal of Machine Learning Research, 9:2677-2694.
20. Christian Hardmeier, Joakim Nivre, and Jorg Tiedemann. 2012. Tree Kernels for Machine Translation Quality Estimation. In Proceedings of the 7th Workshop on Statistical Machine Translation, number 2011, pages 109- 113.
21. Sture Holm. 1979. A Simple Sequentially Rejective Multiple Test Procedure. Scandinavian Journal of Statistics, 6(2):pp. 65-70.
22. Ali Jalali, PD Ravikumar, S Sanghavi, and C Ruan. 2010. A Dirty Model for Multi-task Learning. In Advances in Neural Information Processing Systems (NIPS) 23.
23. Jing Jiang and Chengxiang Zhai. 2007. InstanceWeighting for Domain Adaptation in NLP. In Proceedings of the 45th Annual Meeting of the Association for Computational Linguistics, number June, pages 264-271.
24. Jing Jiang. 2009. Multi-Task Transfer Learning for Weakly-Supervised Relation Extraction. In ACL '09 Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL, number August, pages 1012-1020.
25. Philipp Koehn, Hieu Hoang, Alexandra Birch, Chris Callison-Burch, Marcello Federico, Nicola Bertoldi, Brooke Cowan, Wade Shen, Christine Moran, Richard Zenz, Chris Dyer, Ondej Bojar, Alexandra Constantin, and Evan Herbst. 2007. Moses: Open source toolkit for statistical machine translation. In ACL 2007 Demo and Poster Sessions, number June, pages 177-180.
26. Yashar Mehdad, Matteo Negri, and Marcello Federico. 2012. Match without a Referee : Evaluating MT Adequacy without Reference Translations. In Proceedings of the 7th Workshop on Statistical Machine Translation, pages 171-180.
27. Sinno Jialin Pan and Qiang Yang. 2010. A Survey on Transfer Learning. IEEE Transactions on Knowledge and Data Engineering, 22(10):1345-1359, October.
28. Fabian Pedregosa, Gäel Varoquaux, Alexandre Gramfort, Vincent Michel, Bertrand Thirion, Olivier Grisel, Mathieu Blondel, Peter Prettenhofer, Ron Weiss, Vincent Dubourg, Jake Vanderplas, Alexandre Passos, David Cournapeau, Mathieu Brucher, Mathieu Perrot, and Edouard Duchesnay. 2011. Scikit-learn : Machine Learning in Python. Journal of Machine Learning Research, 12:2825-2830.
29. Raphael Rubino, Jennifer Foster, Joachim Wagner, Johann Roturier, Rasul Samad Zadeh Kaljahi, and Fred Hollowood. DCU-Symantec Submission for the WMT 2012 Quality Estimation Task. In Proceedings of the Seventh Workshop on Statistical Machine Translation, pages 138-144, Montr{e}al, Canada, June. Association for Computational Linguistics.
30. Raphael Rubino, Jos̈e G. C. de Souza, Jennifer Foster, and Lucia Specia. 2013. Topic Models for Translation Quality Estimation for Gisting Purposes. In Machine Translation Summit (MT Summit) XIV, pages 295-302.
31. Matthew Snover, Bonnie Dorr, Richard Schwartz, Linnea Micciulla, and John Makhoul. 2006. A Study of Translation Edit Rate with Targeted Human Annotation. In Association for Machine Translation in the Americas.
32. Radu Soricut and A Echihabi. 2010. Trustrank: Inducing trust in automatic translations via ranking. In Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics, number July, pages 612-621.
33. Radu Soricut, Nguyen Bach, and Ziyuan Wang. 2012. The SDL Language Weaver Systems in the WMT12 Quality Estimation Shared Task. In Proceedings of the 7th Workshop on Statistical Machine Translation, pages 145-151.
34. José G. C. de Souza, Jes̈us González-Rubio, Christian Buck, Marco Turchi, and Matteo Negri. 2014. FBK-UPVUEdin participation in the WMT14 Quality Estimation shared-task. In Proceedings of the Ninth Workshop on Statistical Machine Translation, Baltimore, MD, USA, June.
35. Lucia Specia, Marco Turchi, Nello Cristianini, Nicola Cancedda, and Marc Dymetman. 2009. Estimating the Sentence-Level Quality of Machine Translation Systems. In Proceedings of the 13th Annual Conference of the EAMT, number May, pages 28-35.
36. Lucia Specia, Dhwaj Raj, and Marco Turchi. 2010. Machine translation evaluation versus quality estimation. Machine Translation, 24(1):39-50, May.
37. Lucia Specia, Stafford Street, Regent Court, and Mariano Felice. 2012. Linguistic Features for Quality Estimation. In Proceedings of the 7th Workshop on Statistical Machine Translation, pages 96-103.
38. Lucia Specia. 2011. Exploiting objective annotations for measuring translation post-editing effort. In Proceedings of the European Association for Machine Translation, number May, pages 73-80.
39. Marco Turchi, Josef Steinberger, and Lucia Specia. 2012. Relevance ranking for translated texts. In Proceedings of the 16th Annual Conference of the European Association for Machine Translation, number May, pages 153- 160.
40. Marco Turchi, Matteo Negri, and Marcello Federico. 2013. Coping with the Subjectivity of Human Judgements in MT Quality Estimation. In Proceedings of the 8th Workshop on Statistical Machine Translation (WMT'13), Sofia, Bulgaria, August.
41. Marco Turchi, Antonios Anastasopoulos, Jose G. C. de Souza, and Matteo Negri. 2014. Adaptive Quality Estimation for Machine Translation. In Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics.
42. Guillaume Wisniewski, Anil Kumar Singh, Natalia Segal, and François Yvon. 2013. Design and Analysis of a Large Corpus of Post-Edited Translations: Quality Estimation, Failure Analysis and the Variability of Post- Edition. In Machine Translation Summit XIV, pages 117-124.
43. Jiayu Zhou, Jianhui Chen, and Jieping Ye. 2012. MALSAR: Multi-tAsk Learning via StructurAl Regularization.