| lr,22-6-P03-1050,ak | </term> built using <term> rules </term> , <term> | affix lists | </term> , and <term> human annotated text </term> | #4556 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,ak | </term> , <term> affix lists </term> , and <term> | human annotated text | </term> , in addition to an <term> unsupervised | #4560 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,ak | annotated text </term> , in addition to an <term> | unsupervised component | </term> . <term> Task-based evaluation </term> | #4568 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,ak | <term> unsupervised component </term> . <term> | Task-based evaluation | </term> using <term> Arabic information retrieval | #4571 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,ak | <term> Task-based evaluation </term> using <term> | Arabic information retrieval | </term> indicates an improvement of 22-38 | #4574 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,ak | indicates an improvement of 22-38 % in <term> | average precision | </term> over <term> unstemmed text </term> , | #4584 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,ak | <term> average precision </term> over <term> | unstemmed text | </term> , and 96 % of the performance of | #4587 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,ak | the performance of the proprietary <term> | stemmer | </term> above . We approximate <term> Arabic | #4599 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. |
