P02-1039 |
presented a decoding algorithm for a
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syntax-based statistical machine translation
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. The translation model was extended
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P10-1034 |
widely used in linguistically
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syntax-based statistical machine translation
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systems . In this paper , we
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P11-1003 |
remains a key challenge for current
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syntax-based statistical machine translation
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( SMT ) systems . On the one
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P05-1067 |
coherent sentence . In recent years ,
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syntax-based statistical machine translation
|
, which aims at applying statistical
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J12-3008 |
Introduction Many current approaches to
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syntax-based statistical machine translation
|
fall under the theoretical framework
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P05-1067 |
Yuan Ding Martha Palmer Abstract
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Syntax-based statistical machine translation
|
( MT ) aims at applying statistical
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W04-1513 |
formalism specifically designed for
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syntax-based statistical machine translation
|
. The synchronous grammar formalism
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P11-3007 |
a Master 's thesis proposal in
|
syntax-based Statistical Machine Translation
|
. I propose to build discriminative
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D08-1010 |
rule selection ( MERS ) model for
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syntax-based statistical machine translation
|
( SMT ) . The MERS model combines
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P05-1067 |
. In this paper , we present a
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syntax-based statistical machine translation
|
system based on a probabilistic
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J07-2003 |
´ a ( 2005 ) . 7 . Conclusion
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Syntax-based statistical machine translation
|
is a twofold challenge . It is
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P12-3022 |
al. , 2010 ) . 1 Introduction
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Syntax-based statistical machine translation
|
( SMT ) systems have achieved
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D08-1010 |
Entropy based Rule Selection Model
|
Syntax-based Statistical Machine Translation
|
</title> <authors></authors>
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J14-2005 |
triggered research interest in
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syntax-based statistical machine translation
|
( Yamada and Knight 2001 ) .
|
W07-1205 |
Grammars in a Tree Labeling Approach
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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
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D09-1108 |
Translation Rule Matching for
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Syntax-based Statistical Machine Translation
|
</title> Min Haizhou Chew Lim
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P12-2055 |
translation . 1 Introduction Most
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syntax-based statistical machine translation
|
( SMT ) systems typically utilize
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J13-4006 |
representations are being learned , such as
|
syntax-based statistical machine translation
|
. <title> Improving Statistical
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P11-3007 |
providing NTCIR data sets . <title>
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Syntax-based Statistical Machine Translation
|
using Tree Automata and Tree
|