D09-1021 |
novel approach for syntaxbased
|
statistical MT
|
, which builds on a variant of
|
D10-1013 |
for improving fully automatic
|
statistical MT
|
systems . We plan to implement
|
C02-1160 |
one of the strong features of
|
statistical MT
|
systems . For example , " MT
|
C02-1160 |
stated goal of the workshop on
|
statistical MT
|
( Al-Onaizan et al. 1999 ) .
|
C02-1158 |
ofitstranslationonlybyaddingnewtranslation examples . However , in
|
Statistical MT
|
( Brown et al. , 1990 ) , large
|
C04-1015 |
to obtain initial solutions of
|
statistical MT
|
by examplebased MT have already
|
D09-1076 |
Arabic/English MT task . 1 Introduction
|
Statistical MT
|
has changed a lot in recent years
|
C04-1015 |
. Accordingly , the models of
|
statistical MT
|
are effective for improving the
|
D09-1074 |
performance of a phrase-based
|
statistical MT
|
system . The sentence weights
|
D08-1065 |
System Description Our phrase-based
|
statistical MT
|
system is similar to the alignment
|
C04-1015 |
evaluate the effect when models of
|
statistical MT
|
are integrated into example-based
|
A00-2026 |
This comparison suggests that
|
statistical MT
|
systems could also generate text
|
C04-1098 |
method is not the truth . Though
|
statistical MT
|
approach alleviates the situation
|
C04-1098 |
method is not the truth . Though
|
statistical MT
|
approach alleviates the situation
|
C02-1160 |
create word-alignments ; in many
|
statistical MT
|
systems however , the authors
|
C04-1098 |
is not true in reality . Though
|
statistical MT
|
approach ( Berger and Lafferty
|
D08-1074 |
the correct tense for verbs .
|
Statistical MT
|
systems , the currently dominant
|
C04-1016 |
MT systems ( one of which was a
|
statistical MT
|
system ) and a professional (
|
C00-2092 |
is quite triv - ial . As in any
|
statistical MT
|
system , we wish to choose the
|
D10-1013 |
past several years to deal with
|
statistical MT
|
challenges involving segmentation
|