Forest-to-String Translation using Binarized Dependency Forest for IWSLT 2012 OLYMPICS Task

2012 International Workshop on Spoken Language Translation, IWSLT 2012

Volumn , Issue , 2012, Pages 130-135

  Na, Hwidong ^a   Lee, Jong Hyeok ^a  

^a Pohang University of Science and Technology (POSTECH)   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; FORESTRY; TRANSLATION (LANGUAGES);

DEPENDENCY FOREST; TRANSLATION QUALITY; TRANSLATION SYSTEMS;

HIERARCHICAL SYSTEMS;

EID: 85133178485     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (28)

1. DeNero, J., Bansal, M., Pauls, A., and Klein, D. (2009). Efficient parsing for transducer grammars. In Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, pages 227-235, Boulder, Colorado. Association for Computational Linguistics.
2. Ding, Y. and Palmer, M. (2005). Machine translation using probabilistic synchronous dependency insertion grammars. In Proceedings of the 43rd Annual Meeting of the Association for Computational Linguistics (ACL'05), pages 541-548, Ann Arbor, Michigan. Association for Computational Linguistics.
3. Eisner, J. (2003). Learning non-isomorphic tree mappings for machine translation. In The Companion Volume to the Proceedings of 41st Annual Meeting of the Association for Computational Linguistics, pages 205-208, Sapporo, Japan. Association for Computational Linguistics.
4. Federico, M., Bertoldi, N., and Cettolo, M. (2008). Irstlm: an open source toolkit for handling large scale language models. In Proceedings of Interspeech, Brisbane, Australia.
5. Federico, M., Cettolo, M., Bentivogli, L., Paul, M., and Stüker, S. (2012). Overview of the IWSLT 2012 Evaluation Campaign. Proc. of the International Workshop on Spoken Language Translation.
6. Fox, H. J. (2002). Phrasal cohesion and statistical machine translation. In Proceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 10, EMNLP'02, pages 304-3111, Stroudsburg, PA, USA. Association for Computational Linguistics.
7. Galley, M., Graehl, J., Knight, K., Marcu, D., DeNeefe, S., Wang, W., and Thayer, I. (2006). Scalable inference and training of context-rich syntactic translation models. In Proceedings of the 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics, pages 961-968, Sydney, Australia. Association for Computational Linguistics.
8. Galley, M., Hopkins, M., Knight, K., and Marcu, D. (2004). What's in a translation rule? In Susan Dumais, D. M. and Roukos, S., editors, HLT-NAACL 2004: Main Proceedings, pages 273-280, Boston, Massachusetts, USA. Association for Computational Linguistics.
9. Heafield, K. (2011). Kenlm: Faster and smaller language model queries. In Proceedings of the Sixth Workshop on Statistical Machine Translation, pages 187-197, Edinburgh, Scotland. Association for Computational Linguistics.
10. Huang, L. (2006). Statistical syntax-directed translation with extended domain of locality. In In Proc. AMTA 2006, pages 66-73.
11. Huang, L. and Chiang, D. (2005). Better k-best parsing. In Proceedings of the Ninth International Workshop on Parsing Technology, Parsing'05, pages 53-64, Stroudsburg, PA, USA. Association for Computational Linguistics.
12. Huang, L., Zhang, H., Gildea, D., and Knight, K. (2009). Binarization of synchronous context-free grammars. Comput. Linguist., 35(4):559-595.
13. Mi, H. and Huang, L. (2008). Forest-based translation rule extraction. In Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing, pages 206-214, Honolulu, Hawaii. Association for Computational Linguistics.
14. Mi, H., Huang, L., and Liu, Q. (2008). Forest-based translation. In Proceedings of ACL-08: HLT, pages 192-199, Columbus, Ohio. Association for Computational Linguistics.
15. Mi, H. and Liu, Q. (2010). Constituency to dependency translation with forests. In Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics, pages 1433-1442, Uppsala, Sweden. Association for Computational Linguistics.
16. Och, F. J. (2003). Minimum error rate training in statistical machine translation. In Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1, ACL'03, pages 160-167, Stroudsburg, PA, USA. Association for Computational Linguistics.
17. Och, F. J. and Ney, H. (2000). Improved statistical alignment models. In Proceedings of the 38th Annual Meeting on Association for Computational Linguistics, ACL'00, pages 440-447, Stroudsburg, PA, USA. Association for Computational Linguistics.
18. Shen, L., Xu, J., and Weischedel, R. (2008). A new string-to-dependency machine translation algorithm with a target dependency language model. In Proceedings of ACL-08: HLT, pages 577-585, Columbus, Ohio. Association for Computational Linguistics.
19. Tu, Z., Liu, Y., Hwang, Y.-S., Liu, Q., and Lin, S. (2010). Dependency forest for statistical machine translation. In Proceedings of the 23rd International Conference on Computational Linguistics (Coling 2010), pages 1092-1100, Beijing, China. Coling 2010 Organizing Committee.
20. Wang, W., May, J., Knight, K., and Marcu, D. (2010). Re-structuring, re-labeling, and re-aligning for syntax-based machine translation. Comput. Linguist., 36(2):247-277.
21. Wu, X., Matsuzaki, T., and Tsujii, J. (2010). Fine-grained tree-to-string translation rule extraction. In Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics, pages 325-334, Uppsala, Sweden. Association for Computational Linguistics.
22. Xie, J., Mi, H., and Liu, Q. (2011). A novel dependency-to-string model for statistical machine translation. In Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, pages 216-226, Edinburgh, Scotland, UK. Association for Computational Linguistics.
23. Xiong, D., Liu, Q., and Lin, S. (2007). A dependency treelet string correspondence model for statistical machine translation. In Proceedings of the Second Workshop on Statistical Machine Translation, StatMT'07, pages 40-47, Stroudsburg, PA, USA. Association for Computational Linguistics.
24. Zaidan, O. F. (2009). Z-mert: A fully configurable open source tool for minimum error rate training of machine translation systems. Prague Bulletin of Mathematical Linguistics, 91:79-88.
25. Zhang, H., Fang, L., Xu, P., and Wu, X. (2011). Binarized forest to string translation. In Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, pages 835-845, Portland, Oregon, USA. Association for Computational Linguistics.
26. Zhang, H., Huang, L., Gildea, D., and Knight, K. (2006). Synchronous binarization for machine translation. In Proceedings of the Human Language Technology Conference of the NAACL, Main Conference, pages 256-263, New York City, USA. Association for Computational Linguistics.
27. Zhang, H., Zhang, M., Li, H., Aw, A., and Tan, C. L. (2009). Forest-based tree sequence to string translation model. In Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP, pages 172-180, Suntec, Singapore. Association for Computational Linguistics.
28. Zhang, H., Zhang, M., Li, H., and Chng, E. S. (2010). Non-isomorphic forest pair translation. In Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, pages 440-450, Cambridge, MA. Association for Computational Linguistics.