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Experimental results show that our approach improves
<term>
domain-specific word alignment
</term>
in terms of both
<term>
precision
</term>
and
<term>
recall
</term>
, achieving a
<term>
relative error rate reduction
</term>
of 6.56 % as compared with the state-of-the-art technologies .
<term>
Syntax-based statistical machine translation ( MT )
</term>
aims at applying
<term>
statistical models
</term>
to
<term>
structured data
</term>
.
#9788Experimental results show that our approach improves domain-specific word alignment in terms of both precision and recall, achieving a relative error rate reduction of 6.56% as compared with the state-of-the-art technologies.Syntax-based statistical machine translation ( MT ) aims at applying statistical models to structured data.