The theory of parsing, translation, and compiling
The theory of parsing, translation, and compiling
DUSTer: A Method for Unraveling Cross-Language Divergences for Statistical Word-Level Alignment
AMTA '02 Proceedings of the 5th Conference of the Association for Machine Translation in the Americas on Machine Translation: From Research to Real Users
Head-driven statistical models for natural language parsing
Head-driven statistical models for natural language parsing
Learning dependency translation models as collections of finite-state head transducers
Computational Linguistics - Special issue on finite-state methods in NLP
The mathematics of statistical machine translation: parameter estimation
Computational Linguistics - Special issue on using large corpora: II
Building a large annotated corpus of English: the penn treebank
Computational Linguistics - Special issue on using large corpora: II
Stochastic inversion transduction grammars and bilingual parsing of parallel corpora
Computational Linguistics
Three generative, lexicalised models for statistical parsing
ACL '98 Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics and Eighth Conference of the European Chapter of the Association for Computational Linguistics
Lexicalized hidden Markov models for part-of-speech tagging
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 1
The Penn Chinese TreeBank: Phrase structure annotation of a large corpus
Natural Language Engineering
Czech-English dependency-based machine translation
EACL '03 Proceedings of the tenth conference on European chapter of the Association for Computational Linguistics - Volume 1
A syntax-based statistical translation model
ACL '01 Proceedings of the 39th Annual Meeting on Association for Computational Linguistics
Statistical phrase-based translation
NAACL '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1
Minimum error rate training in statistical machine translation
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
The Alignment Template Approach to Statistical Machine Translation
Computational Linguistics
Machine Translation with Inferred Stochastic Finite-State Transducers
Computational Linguistics
Phrasal cohesion and statistical machine translation
EMNLP '02 Proceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 10
Statistical machine translation by parsing
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
Dependency treelet translation: syntactically informed phrasal SMT
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
Dependency-based statistical machine translation
ACLstudent '05 Proceedings of the ACL Student Research Workshop
Latency management in storage systems
OSDI'00 Proceedings of the 4th conference on Symposium on Operating System Design & Implementation - Volume 4
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We present a Chinese-English Statistical Machine Translation (SMT) system based on dependency tree mappings. We use a state-of-the-art dependency parser to parse the English translation of the Penn Chinese Treebank to make it bilingual and then learn a tree-to-tree dependency mapping model. We also train a phrase-based translation model and collect a bilingual phrase lexicon to bootstrap a treelet translation model. For decoding, we use the same dependency parser on Chinese, using a log-linear framework to integrate the learned translation model with a variety of dependency tree based probability models, and then find the best English dependency tree by dynamic programming. Finally the English tree is flattened to produce the translation. We evaluate our system on the 863 and NIST 2005 Chinese-English MT test data and find that the dependency-based model significantly outperforms Caravan, our phrase-based SMT system which participated in NIST 2006 and IWSLT 2006.