Multi-source neural translation

2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL HLT 2016 - Proceedings of the Conference

Volumn , Issue , 2016, Pages 30-34

  Zoph, Barret ^a   Knight, Kevin ^a  

^a UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS;

COMBINATION METHOD; ENCODER-DECODER; MACHINE TRANSLATION MODELS; MULTI-SOURCES; TRANSLATION MODELS;

TRANSLATION (LANGUAGES);

EID: 84994065618     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.18653/v1/n16-1004     Document Type: Conference Paper

References (25)

1. D. Bahdanau, K. Cho, and Y. Bengio. 2014. Neural machine translation by jointly learning to align and translate. In Proc. ICLR.
2. O. Bojar, C. Buck, C. Federmann, B. Haddow, P. Koehn, C. Monz, M. Post, and L. Specia, editors. 2014. Proc. of the Ninth Workshop on Statistical Machine Translation. Association for Computational Linguistics.
3. C. Callison-Burch. 2002. Co-training for statistical machine translation. Master's thesis, School of Informatics, University of Edinburgh.
4. M. A. Castaño and F. Casacuberta. 1997. A connectionist approach to machine translation. In EUROSPEECH.
5. A. Deri and K. Knight. 2015. How to make a Frenemy: Multitape FSTs for portmanteau generation. In Proc. NAACL.
6. D. Dong, H. Wu, W. he, D. Yu, and H. Wang. 2015. Multi-task learning for multiple language translation. In Proc. ACL.
7. C. Elgot and J. Mezei. 1965. On relations defined by generalized finite automata. IBM Journal of Research and Development, 9(1):47-68.
8. W. A Gale and K. W Church. 1993. A program for aligning sentences in bilingual corpora. Computational linguistics, 19(1):75-102.
9. J. González-Rubio and F. Casacuberta. 2010. On the use of median string for multi-source translation. In Proc. ICPR.
10. S. Hochreiter and J. Schmidhuber. 1997. Long short-term memory. Neural Computation, 9(8).
11. R. Kaplan and M. Kay. 1994. Regular models of phonological rule systems. Computational Linguistics, 20(3):331-378.
12. M. Kay. 2000. Triangulation in translation. Keynote at MT 2000 Conference, University of Exeter.
13. M. Luong, Q. V. Le, I. Sutskever, O. Vinyals, and L. Kaiser. 2015a. Multi-task sequence to sequence learning. In arXiv. http://arxiv.org/abs/1511.06114.
14. M. Luong, H. Pham, and C. Manning. 2015b. Effective approaches to attention-based neural machine translation. In Proc. EMNLP.
15. E. Matusov, N. Ueffing, and H. Ney. 2006. Computing consensus translation from multiple machine translation systems using enhanced hypotheses alignment. In Proc. EACL.
16. A. Max, J. Crego, and F. Yvon. 2010. Contrastive lexical evaluation of machine translation. In Proc. LREC.
17. R. Neco and M. Forcada. 1997. Asynchronous translations with recurrent neural nets. In International Conf. on Neural Networks, volume 4, pages 2535-2540.
18. F. J. Och and H. Ney. 2001. Statistical multi-source translation. In Proc. MT Summit.
19. J. Schroeder, T. Cohn, and P. Koehn. 2009. Word lattices for multi-source translation. In Proc. EACL.
20. L. Schwartz. 2008. Multi-source translation methods. Proc. AMTA.
21. M. Simard. 1999. Text-translation alignment: Three languages are better than two. In Proc. EMNLP/VLC.
22. I. Sutskever, O. Vinyals, and Q. V. Le. 2014. Sequence to sequence learning with neural networks. In Proc. NIPS.
23. K. S. Tai, R. Socher, and C. Manning. 2015. Improved semantic representations from tree-structured long short-term memory networks. In Proc. ACL.
24. P. J. Werbos. 1990. Backpropagation through time: what it does and how to do it. Proc. IEEE, 78(10):1550-1560.
25. W. Zaremba, I. Sutskever, and O. Vinyals. 2014. Recurrent neural network regularization. CoRR, abs/1409.2329.