P02-1039 presented a decoding algorithm for a syntax-based statistical machine translation . The translation model was extended
P10-1034 widely used in linguistically syntax-based statistical machine translation systems . In this paper , we
P11-1003 remains a key challenge for current syntax-based statistical machine translation ( SMT ) systems . On the one
P05-1067 coherent sentence . In recent years , syntax-based statistical machine translation , which aims at applying statistical
J12-3008 Introduction Many current approaches to syntax-based statistical machine translation fall under the theoretical framework
P05-1067 Yuan Ding Martha Palmer Abstract Syntax-based statistical machine translation ( MT ) aims at applying statistical
W04-1513 formalism specifically designed for syntax-based statistical machine translation . The synchronous grammar formalism
P11-3007 a Master 's thesis proposal in syntax-based Statistical Machine Translation . I propose to build discriminative
D08-1010 rule selection ( MERS ) model for syntax-based statistical machine translation ( SMT ) . The MERS model combines
P05-1067 . In this paper , we present a syntax-based statistical machine translation system based on a probabilistic
J07-2003 ´ a ( 2005 ) . 7 . Conclusion Syntax-based statistical machine translation is a twofold challenge . It is
P12-3022 al. , 2010 ) . 1 Introduction Syntax-based statistical machine translation ( SMT ) systems have achieved
D08-1010 Entropy based Rule Selection Model Syntax-based Statistical Machine Translation </title> <authors></authors>
J14-2005 triggered research interest in syntax-based statistical machine translation ( Yamada and Knight 2001 ) .
W07-1205 Grammars in a Tree Labeling Approach Syntax-based Statistical Machine Translation </title> Mark Jonas Europarl
J10-2004 tools is not optimal for training syntax-based statistical machine translation ( SMT ) systems . We present
D09-1108 Translation Rule Matching for Syntax-based Statistical Machine Translation </title> Min Haizhou Chew Lim
P12-2055 translation . 1 Introduction Most syntax-based statistical machine translation ( SMT ) systems typically utilize
J13-4006 representations are being learned , such as syntax-based statistical machine translation . <title> Improving Statistical
P11-3007 providing NTCIR data sets . <title> Syntax-based Statistical Machine Translation using Tree Automata and Tree
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