#4560Our resource-frugal approach results in 87.5% agreement with a state of the art, proprietary Arabic stemmer built using rules, affix lists, andhuman annotated text, in addition to an unsupervised component.
tech,34-6-P03-1050,ak
annotated text
</term>
, in addition to an
<term>
unsupervised component
</term>
.
<term>
Task-based evaluation
</term>
#4568Our 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 anunsupervised component.
tech,0-7-P03-1050,ak
<term>
unsupervised component
</term>
.
<term>
Task-based evaluation
</term>
using
<term>
Arabic information retrieval
#4571Our 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.Task-based evaluation using Arabic information retrieval indicates an improvement of 22-38% in average precision over unstemmed text, and 96% of the performance of the proprietary stemmer above.
tech,3-7-P03-1050,ak
<term>
Task-based evaluation
</term>
using
<term>
Arabic information retrieval
</term>
indicates an improvement of 22-38
#4574Task-based evaluation usingArabic information retrieval indicates an improvement of 22-38% in average precision over unstemmed text, and 96% of the performance of the proprietary stemmer above.
measure(ment),13-7-P03-1050,ak
indicates an improvement of 22-38 % in
<term>
average precision
</term>
over
<term>
unstemmed text
</term>
,
#4584Task-based evaluation using Arabic information retrieval indicates an improvement of 22-38% inaverage precision over unstemmed text, and 96% of the performance of the proprietary stemmer above.
other,16-7-P03-1050,ak
<term>
average precision
</term>
over
<term>
unstemmed text
</term>
, and 96 % of the performance of
#4587Task-based evaluation using Arabic information retrieval indicates an improvement of 22-38% in average precision overunstemmed text, and 96% of the performance of the proprietary stemmer above.
tech,28-7-P03-1050,ak
the performance of the proprietary
<term>
stemmer
</term>
above . We approximate
<term>
Arabic
#4599Task-based evaluation using Arabic information retrieval indicates an improvement of 22-38% in average precision over unstemmed text, and 96% of the performance of the proprietarystemmer above.