D08-1010 |
decoder perform context-dependent
|
rule selection
|
during decoding . For integration
|
D08-1010 |
decoder to perform context-dependent
|
rule selection
|
during decoding . We incorporate
|
C00-1020 |
context , therefore we need a
|
rule selection
|
strategy . Suppose one wants
|
D08-1010 |
rules , a maximum entropy based
|
rule selection
|
( MERS ) model is built . Thus
|
D08-1010 |
we propose a novel solution for
|
rule selection
|
for syntax-based SMT . We use
|
D08-1010 |
a novel maximum entropy based
|
rule selection
|
( MERS ) model for syntax-based
|
D08-1010 |
features to help the decoder perform
|
rule selection
|
. Table 4 shows the effect of
|
D08-1010 |
are believed to be helpful for
|
rule selection
|
. Recent research showed that
|
D08-1010 |
selection in phrase-based SMT ,
|
rule selection
|
is more generic and important
|
C90-2004 |
the problem of nondeterminism in
|
rule selection
|
. Rule selection generates several
|
C69-6101 |
then a distinguished role in the
|
rule selection
|
. Whatever method one applies
|
D08-1010 |
that the TAT model faces serious
|
rule selection
|
problem during decoding . 5.3
|
D08-1010 |
more contextual information for
|
rule selection
|
. In the MERS model , P , .3
|
D08-1010 |
model perform contextdependent
|
rule selection
|
. We consider the rule selection
|
D08-1010 |
call this rule selec - tion .
|
Rule selection
|
is of great importance to syntaxbased
|
D08-1010 |
to perform a context dependent
|
rule selection
|
. Although Lynx uses language
|
C90-2004 |
to constrain the operation of
|
rule selection
|
and reduce this non determinism
|
D08-1010 |
• Word penalty I . In Lynx ,
|
rule selection
|
mainly depends on translation
|
D08-1010 |
rule selection . We consider the
|
rule selection
|
task as a multi-class classification
|
D08-1010 |
) are determined . Therefore ,
|
rule selection
|
affects both lexical translation
|