<term>
NIST
</term>
,
<term>
WER
</term>
and
<term>
PER
</term>
) to building
<term>
classifiers
</term>
#7405This paper investigates the utility of applying standard MT evaluation methods (BLEU, NIST, WER and PER ) to building classifiers to predict semantic equivalence and entailment.
measure(ment),9-3-I05-5003,ak
classification method
</term>
based on
<term>
PER
</term>
which leverages
<term>
part of speech
#7426We also introduce a novel classification method based on PER which leverages part of speech information of the words contributing to the word matches and non-matches in the sentence.