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» Forest-to-String Statistical Translation Rules
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ACL
2006
13 years 8 months ago
Left-to-Right Target Generation for Hierarchical Phrase-Based Translation
We present a hierarchical phrase-based statistical machine translation in which a target sentence is efficiently generated in left-to-right order. The model is a class of synchron...
Taro Watanabe, Hajime Tsukada, Hideki Isozaki
ACL
1998
13 years 8 months ago
Maximum Entropy Model Learning of the Translation Rules
This paper proposes a learning method of translation rules from parallel corpora. This method applies the maximum entropy principle to a probabilistic model of translation rules. ...
Kengo Sato, Masakazu Nakanishi
ACL
2010
13 years 5 months ago
A Joint Rule Selection Model for Hierarchical Phrase-Based Translation
In hierarchical phrase-based SMT systems, statistical models are integrated to guide the hierarchical rule selection for better translation performance. Previous work mainly focus...
Lei Cui, Dongdong Zhang, Mu Li, Ming Zhou, Tiejun ...
SAC
2006
ACM
14 years 1 months ago
FITE-TRT: a high quality translation technique for OOV words
We devised a novel statistical technique for the identification of the translation equivalents of source words obtained by transformation rule based translation (TRT). The effecti...
Ari Pirkola, Jarmo Toivonen, Heikki Keskustalo, Ka...
ACL
2009
13 years 5 months ago
A non-contiguous Tree Sequence Alignment-based Model for Statistical Machine Translation
The tree sequence based translation model allows the violation of syntactic boundaries in a rule to capture non-syntactic phrases, where a tree sequence is a contiguous sequence o...
Jun Sun, Min Zhang, Chew Lim Tan