Syntactic reordering has been demonstrated
to be helpful and effective for handling
different word orders between source
and target languages in SMT. However, in
terms of hierarchial PB-SMT (HPB), does
the syntactic reordering still has a significant
impact on its performance? This
paper introduces a reordering approach
which explores the { (DE) grammatical
structure in Chinese. We employ
the Stanford DE classifier to recognise
the DE structures in both training and
test sentences of Chinese, and then perform
word reordering to make the Chinese
sentences better match the word order
of English. The annotated and reordered
training data and test data are applied
to a re-implemented HPB system and
the impact of the DE construction is examined.
The experiments are conducted
on the NIST 2008 evaluation data and experimental
results show that the BLEU
and METEOR scores are significantly improved
by 1.83/8.91 and 1.17/2.73 absolute/
relative points respectively