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» Machine Translation System Combination by Confusion Forest
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LREC
2010
176views Education» more  LREC 2010»
14 years 11 months ago
Integrating a Rule-based with a Hierarchical Translation System
Recent developments on hybrid systems that combine rule-based machine translation (RBMT) systems with statistical machine translation (SMT) generally neglect the fact that RBMT sy...
Yu Chen, Andreas Eisele
ACL
2007
14 years 11 months ago
Machine Translation by Triangulation: Making Effective Use of Multi-Parallel Corpora
Current phrase-based SMT systems perform poorly when using small training sets. This is a consequence of unreliable translation estimates and low coverage over source and target p...
Trevor Cohn, Mirella Lapata
COLING
2010
14 years 4 months ago
Local lexical adaptation in Machine Translation through triangulation: SMT helping SMT
We present a framework where auxiliary MT systems are used to provide lexical predictions to a main SMT system. In this work, predictions are obtained by means of pivoting via aux...
Josep Maria Crego, Aurélien Max, Fran&ccedi...
ACL
2009
14 years 7 months ago
Forest-based Tree Sequence to String Translation Model
This paper proposes a forest-based tree sequence to string translation model for syntaxbased statistical machine translation, which automatically learns tree sequence to string tr...
Hui Zhang, Min Zhang, Haizhou Li, AiTi Aw, Chew Li...
COLING
2008
14 years 11 months ago
Improving Statistical Machine Translation using Lexicalized Rule Selection
This paper proposes a novel lexicalized approach for rule selection for syntax-based statistical machine translation (SMT). We build maximum entropy (MaxEnt) models which combine ...
Zhongjun He, Qun Liu, Shouxun Lin