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» Learning Rules to Improve a Machine Translation System
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ICML
1997
IEEE
14 years 8 months ago
Automatic Rule Acquisition for Spelling Correction
This paper describes a new approach to automatically learning linguistic knowledge for spelling correction. A major feature of this approach is the fact that the acquired knowledg...
Lidia Mangu, Eric Brill
IWLCS
2005
Springer
14 years 26 days ago
Binary Rule Encoding Schemes: A Study Using the Compact Classifier System
Xavier Llorà, Kumara Sastry, David E. Goldb...
NAACL
2007
13 years 8 months ago
Generation by Inverting a Semantic Parser that Uses Statistical Machine Translation
This paper explores the use of statistical machine translation (SMT) methods for tactical natural language generation. We present results on using phrase-based SMT for learning to...
Yuk Wah Wong, Raymond J. Mooney
TASLP
2008
229views more  TASLP 2008»
13 years 7 months ago
System Combination for Machine Translation of Spoken and Written Language
This paper describes an approach for computing a consensus translation from the outputs of multiple machine translation (MT) systems. The consensus translation is computed by weigh...
Evgeny Matusov, Gregor Leusch, Rafael E. Banchs, N...
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