Multi-Task learning for multiple language translation

ACL-IJCNLP 2015 - 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, Proceedings of the Conference

Volumn 1, Issue , 2015, Pages 1723-1732

  Dong, Daxiang ^a   Wu, Hua ^a   He, Wei ^a   Yu, Dianhai ^a   Wang, Haifeng ^a  

^a BAIDU INC   (China)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; COMPUTER AIDED LANGUAGE TRANSLATION; MODELING LANGUAGES; MULTI-TASK LEARNING; NATURAL LANGUAGE PROCESSING SYSTEMS;

MACHINE TRANSLATION MODELS; MACHINE TRANSLATIONS; MULTIPLE LANGUAGES; MULTIPLE TARGETS; SEQUENCE LEARNING; SOURCE LANGUAGE; TARGET LANGUAGE; TRANSLATION QUALITY;

LEARNING SYSTEMS;

EID: 84943812909     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3115/v1/p15-1166     Document Type: Conference Paper

References (21)

1. Rie Kubota Ando and Tong Zhang. 2005. A framework for learning predictive structures from multiple tasks and unlabeled data. Journal of Machine Learning Research, 6:1817-1853.
2. Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2014. Neural machine translation by jointly learning to align and translate. CoRR, abs/1409.0473.
3. Frédéric Bastien, Pascal Lamblin, Razvan Pascanu, James Bergstra, Ian J. Goodfellow, Arnaud Bergeron, Nicolas Bouchard, David Warde-Farley, and Yoshua Bengio. 2012. Theano: new features and speed improvements. CoRR, abs/1211.5590.
4. Léon Bottou. 1991. Stochastic gradient learning in neural networks. In Proceedings of Neuro-Nîmes 91, Nimes, France. EC2.
5. Kyung Hyun Cho, Bart van Merrienboer, Dzmitry Bahdanau, and Yoshua Bengio. 2014. On the properties of neural machine translation: Encoderdecoder approaches. CoRR, abs/1409.1259.
6. Trevor Cohn and Mirella Lapata. 2007. Machine translation by triangulation: Making effective use of multi-parallel corpora. In Proc. ACL, pages 728-735.
7. Ronan Collobert, Jason Weston, Léon Bottou, Michael Karlen, Koray Kavukcuoglu, and Pavel P. Kuksa. 2011. Natural language processing (almost) from scratch. Journal of Machine Learning Research, 12:2493-2537.
8. Lei Cui, Xilun Chen, Dongdong Zhang, Shujie Liu, Mu Li, and Ming Zhou. 2013. Multi-domain adaptation for SMT using multi-Task learning. In Proc. EMNLP, pages 1055-1065.
9. Jacob Devlin, Rabih Zbib, Zhongqiang Huang, Thomas Lamar, Richard M. Schwartz, and John Makhoul. 2014. Fast and robust neural network joint models for statistical machine translation. In Proc. ACL, pages 1370-1380.
10. Jianfeng Gao, Xiaodong He, Wen-Tau Yih, and Li Deng. 2014. Learning continuous phrase representations for translation modeling. In Proc. ACL, pages 699-709.
11. Jun Hatori, Takuya Matsuzaki, Yusuke Miyao, and Junichi Tsujii. 2012. Incremental joint approach to word segmentation, POS tagging, and dependency parsing in chinese. In Proc. ACL, pages 1045-1053.
12. Nal Kalchbrenner and Phil Blunsom. 2013. Recurrent continuous translation models. In Proc. EMNLP, pages 1700-1709.
13. Philipp Koehn. 2004. Pharaoh: A beam search decoder for phrase-based statistical machine translation models. In Machine Translation: From Real Users to Research, 6th Conference of the Association for Machine Translation in the Americas, AMTA 2004, Washington, DC, USA, September 28-October 2, 2004, Proceedings, pages 115-124.
14. Zhenghua Li, Min Zhang, Wanxiang Che, Ting Liu, and Wenliang Chen. 2014. Joint optimization for chinese POS tagging and dependency parsing. IEEE/ACM Transactions on Audio, Speech & Language Processing, 22(1):274-286.
15. Shujie Liu, Nan Yang, Mu Li, and Ming Zhou. 2014. A recursive recurrent neural network for statistical machine translation. In Proc. ACL, pages 1491-1500.
16. Kishore Papineni, Salim Roukos, ToddWard, andWei-Jing Zhu. 2002. Bleu: A method for automatic evaluation of machine translation. In Proc. ACL, ACL 2002, pages 311-318, Stroudsburg, PA, USA. Association for Computational Linguistics.
17. Rico Sennrich, Holger Schwenk, and Walid Aransa. 2013. A multi-domain translation model framework for statistical machine translation. In Proc. ACL, pages 832-840.
18. Martin Sundermeyer, Tamer Alkhouli, Joern Wuebker, and Hermann Ney. 2014. Translation modeling with bidirectional recurrent neural networks. In Proc. EMNLP, pages 14-25.
19. Ilya Sutskever, Oriol Vinyals, and Quoc V. Le. 2014. Sequence to sequence learning with neural networks. In Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, December 8-13 2014, Montreal, Quebec, Canada, pages 3104-3112.
20. Hua Wu and Haifeng Wang. 2007. Pivot language approach for phrase-based statistical machine translation. In Proc. ACL, pages 165-181.
21. Matthew D. Zeiler. 2012. ADADELTA: an adaptive learning rate method. CoRR, abs/1212.5701.