Our
<term>
resource-frugal approach
</term>
results in 87.5 %
<term>
agreement
</term>
with a state of the art , proprietary
<term>
Arabic stemmer
</term>
built using
<term>
rules
</term>
,
<term>
affix lists
</term>
, and
<term>
human annotated text
</term>
, in addition to an
<term>
unsupervised component
</term>
.
#4560Our resource-frugal approach results in 87.5% agreement with a state of the art, proprietary Arabic stemmer built using rules, affix lists, and human annotated text , in addition to an unsupervised component.