Improving machine translation quality prediction with syntactic tree kernels

Proceedings of the 15th International Conference of the European Association for Machine Translation, EAMT 2011

Volumn , Issue , 2011, Pages 233-240

  Hardmeier, Christian ^a  

^a UPPSALA UNIVERSITY   (Sweden)

Author keywords

[No Author keywords available]

Indexed keywords

BINARY CLASSIFICATION; BUILDING BLOCKES; DATA SETS; FEATURE SETS; LANGUAGE PAIRS; MACHINE TRANSLATIONS; PERFORMANCE LEVEL; QUALITY ESTIMATION; SYNTACTIC FEATURES; SYNTACTIC PARSE TREE; SYNTACTIC TREES; SYNTAX TREE; TEXT GENRE;

FORESTRY; SUPPORT VECTOR MACHINES; SYNTACTICS; TREES (MATHEMATICS);

INFORMATION THEORY;

FORESTRY; MATHEMATICS; TREES;

EID: 84857579747     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (22)

1. Blatz, John, Erin Fitzgerald, George Foster, et al. 2004. Confidence estimation for machine translation. In Proceedings of the 20th International Conference on Computational Linguistics (COLING 2004), pages 315-321.
2. Collins, Michael and Nigel Duffy. 2001. Convolution kernels for natural language. In Proceedings of NIPS 2001, pages 625-632.
3. Gamon, Michael, Anthony Aue, and Martine Smets. 2005. Sentence-level MT evaluation without reference translations: Beyond language modeling. In Proceedings of the 10th Annual Conference of the EAMT, pages 103-111, Budapest.
4. Giménez, Jesús and Lluís Márquez. 2004. SVMTool: A general POS tagger generator based on Support Vector Machines. In Proceedings of the 4th Conference on International Language Resources and Evaluation (LREC-2004), Lisbon.
5. Halácsy, Péter, András Kornai, and Csaba Oravecz. 2007. HunPos - an open source trigram tagger. In Proceedings of the 45th Meeting of the Association for Computational Linguistics, pages 209-212, Prague.
6. Joachims, Thorsten. 1999. Making large-scale SVM learning practical. In Schölkopf, B., C. Burges, and A. Smola, editors, Advances in Kernel Methods - Support Vector Learning. MIT Press.
7. Johansson, Richard and Alessandro Moschitti. 2010. Syntactic and semantic structure for opinion expression detection. In Proceedings of the 2010 Conference on Natural Language Learning, Uppsala.
8. Klein, Dan and Christopher D. Manning. 2003. Accurate unlexicalized parsing. In Proceedings of the 41st Meeting of the Association for Computational Linguistics, pages 423-430, Sapporo.
9. Koehn, Philipp, Hieu Hoang, Alexandra Birch, et al. 2007. Moses: open source toolkit for statistical machine translation. In Annual meeting of the Association for Computational Linguistics: Demonstration session, pages 177-180, Prague.
10. Krippendorff, Klaus. 2004. Measuring the reliability of qualitative text analysis data. Quality and Quantity, 38:787-800.
11. Liu, Ding and Daniel Gildea. 2005. Syntactic features for evaluation of machine translation. In Proceedings of the ACL Workshop on Intrinsic and Extrinsic Evaluation Measures for Machine Translation, pages 25-32, Ann Arbor.
12. Moschitti, Alessandro. 2006a. Efficient convolution kernels for dependency and constituent syntactic trees. In Proceedings of the 17th European Conference on Machine Learning, Berlin.
13. Moschitti, Alessandro. 2006b. Making tree kernels practical for natural language learning. In Proceedings of the Eleventh International Conference of the European Association for Computational Linguistics, Trento.
14. Nivre, Joakim, Johan Hall, and Jens Nilsson. 2006. MaltParser: A language-independent system for data-driven dependency parsing. In Proceedings of the 5th Conference on International Language Resources and Evaluation (LREC-2006), pages 2216-2219, Genoa.
15. Quirk, Christopher B. 2004. Training a sentence-level machine translation confidence measure. In Proceedings of the 4th Conference on International Language Resources and Evaluation (LREC-2004), pages 825-828, Lisbon.
16. Soricut, Radu and Abdessamat Echihabi. 2010. TrustRank: Inducing trust in automatic translations via ranking. In Proceedings of the 48th Meeting of the Association for Computational Linguistics, pages 612-621, Uppsala.
17. Specia, Lucia, Nicola Cancedda, Marc Dymetman, Marco Turchi, and Nello Cristianini. 2009a. Estimating the sentence-level quality of Machine Translation systems. In Proceedings of the 13th Annual Conference of the EAMT, pages 28-35, Barcelona.
18. Specia, Lucia, Craig Saunders, Marco Turchi, Zhuoran Wang, and John Shawe-Taylor. 2009b. Improving the confidence of Machine Translation quality estimates. In Proceedings of MT Summit XII, Ottawa.
19. Specia, Lucia, Nicola Cancedda, and Marc Dymetman. 2010a. A dataset for assessing machine translation evaluation metrics. In Proceedings of the 7th Conference on International Language Resources and Evaluation (LREC-2010), pages 3375-3378, Valletta, Malta.
20. Specia, Lucia, Dhwaj Raj, and Marco Turchi. 2010b. Machine translation evaluation versus quality estimation. Machine Translation, 24:39-50.
21. Tiedemann, Jörg. 2009. News from OPUS - a collection of multilingual parallel corpora with tools and interface. In Nicolov, N., K. Bontcheva, G. Angelova, and R. Mitkov, editors, Recent Advances in Natural Language Processing, pages 237-248. John Benjamins, Amsterdam.
22. Volk, Martin, Rico Sennrich, Christian Hardmeier, and Frida Tidström. 2010. Machine translation of TV subtitles for large scale production. In Proceedings of the Second Joint EM+/CNGL Workshop "Bringing MT to the User: Research on Integrating MT in the Translation Industry" (JEC 2010), pages 53-62, Denver, CO.