@inproceedings{ea1ceca158fe4f33aa6772e1a8dd9a93,
title = "Forest-based tree sequence to string translation model",
abstract = "This paper proposes a forest-based tree sequence to string translation model for syntaxbased statistical machine translation, which automatically learns tree sequence to string translation rules from word-aligned sourceside-parsed bilingual texts. The proposed model leverages on the strengths of both tree sequence-based and forest-based translation models. Therefore, it can not only utilize forest structure that compactly encodes exponential number of parse trees but also capture nonsyntactic translation equivalences with linguistically structured information through tree sequence. This makes our model potentially more robust to parse errors and structure divergence. Experimental results on the NIST MT-2003 Chinese-English translation task show that our method statistically significantly outperforms the four baseline systems.",
author = "Hui Zhang and Min Zhang and Haizhou Li and Aiti Aw and Tan, \{Chew Lim\}",
year = "2009",
doi = "10.3115/1687878.1687904",
language = "英语",
isbn = "9781617382581",
series = "ACL-IJCNLP 2009 - Joint Conf. of the 47th Annual Meeting of the Association for Computational Linguistics and 4th Int. Joint Conf. on Natural Language Processing of the AFNLP, Proceedings of the Conf.",
publisher = "Association for Computational Linguistics (ACL)",
pages = "172--180",
booktitle = "ACL-IJCNLP 2009 - Joint Conf. of the 47th Annual Meeting of the Association for Computational Linguistics and 4th Int. Joint Conf. on Natural Language Processing of the AFNLP, Proceedings of the Conf.",
address = "澳大利亚",
note = "Joint Conference of the 47th Annual Meeting of the Association for Computational Linguistics and 4th International Joint Conference on Natural Language Processing of the AFNLP, ACL-IJCNLP 2009 ; Conference date: 02-08-2009 Through 07-08-2009",
}