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» Learning Rules to Improve a Machine Translation System
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ICML
1997
IEEE
15 years 10 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
15 years 3 months ago
Binary Rule Encoding Schemes: A Study Using the Compact Classifier System
Xavier Llorà, Kumara Sastry, David E. Goldb...
NAACL
2007
14 years 11 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»
14 years 9 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
14 years 11 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