A linguistically annotated reordering model for BTG-based statistical machine translation

Proceedings of the Annual Meeting of the Association for Computational Linguistics

Volumn , Issue , 2008, Pages 149-152

  Xiong, Deyi ^a   Zhang, Min ^a   Aw, Aiti ^a   Li, Haizhou ^a  

^a INSTITUTE FOR INFOCOMM RESEARCH   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; COMPUTER AIDED LANGUAGE TRANSLATION; MACHINE TRANSLATION; NATURAL LANGUAGE PROCESSING SYSTEMS; TREES (MATHEMATICS);

LINGUISTIC KNOWLEDGE; PARSE TREES; PREDICT ORDERS; REORDERING MODELS; STATISTICAL MACHINE TRANSLATION;

SYNTACTICS;

EID: 85119958165     PISSN: 0736587X     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (8)

1. Franz Josef Och. 2003. Minimum Error Rate Training in Statistical Machine Translation. In Proceedings of ACL 2003.
2. Andreas Stolcke. 2002. SRILM - an extensible language modeling toolkit. In Proceedings of International Conference on Spoken Language Processing, volume 2, pages 901-904.
3. Chao Wang, Michael Collins and Philipp Koehn. 2007. Chinese Syntactic Reordering for Statistical Machine Translation. In Proceedings of EMNLP-CoNLL 2007.
4. Dekai Wu. 1997. Stochastic Inversion Transduction Grammars and Bilingual Parsing of Parallel Corpora. Computational Linguistics, 23(3):377-403.
5. Deyi Xiong, Shuanglong Li, Qun Liu, Shouxun Lin, Yueliang Qian. 2005. Parsing the Penn Chinese Treebank with Semantic Knowledge. In Proceedings of IJCNLP, Jeju Island, Korea.
6. Deyi Xiong, Qun Liu and Shouxun Lin. 2006. Maximum Entropy Based Phrase Reordering Model for Statistical Machine Translation. In Proceedings of ACL-COLING 2006.
7. Dongdong Zhang, Mu Li, Chi-Ho Li and Ming Zhou. 2007. Phrase Reordering Model Integrating Syntactic Knowledge for SMT. In Proceedings of EMNLP-CoNLL 2007.
8. Le Zhang. 2004. Maximum Entropy Modeling Tooklkit for Python and C++. Available at http://homepages.inf.ed.ac.uk/s0450736/maxent toolkit.html.