lr,22-6-P03-1050,bq |
</term>
built using
<term>
rules
</term>
,
<term>
|
affix lists
|
</term>
, and
<term>
human annotated text
</term>
|
#4554
Our 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. |
lr,26-6-P03-1050,bq |
</term>
,
<term>
affix lists
</term>
, and
<term>
|
human annotated text
|
</term>
, in addition to an
<term>
unsupervised
|
#4558
Our 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,bq |
annotated text
</term>
, in addition to an
<term>
|
unsupervised component
|
</term>
.
<term>
Task-based evaluation
</term>
|
#4566
Our 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,bq |
<term>
unsupervised component
</term>
.
<term>
|
Task-based evaluation
|
</term>
using
<term>
Arabic information retrieval
|
#4569
Our 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,bq |
<term>
Task-based evaluation
</term>
using
<term>
|
Arabic information retrieval
|
</term>
indicates an improvement of 22-38
|
#4572
Task-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,bq |
indicates an improvement of 22-38 % in
<term>
|
average precision
|
</term>
over
<term>
unstemmed text
</term>
,
|
#4582
Task-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,bq |
<term>
average precision
</term>
over
<term>
|
unstemmed text
|
</term>
, and 96 % of the performance of
|
#4585
Task-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,bq |
the performance of the proprietary
<term>
|
stemmer
|
</term>
above . We approximate
<term>
Arabic
|
#4597
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 proprietarystemmer above. |