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
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