| tech,4-1-P03-1050,ak | This paper presents an <term> unsupervised learning approach </term> to building a <term> non-English ( Arabic ) stemmer </term> . | #4436 This paper presents an unsupervised learning approach to building a non-English (Arabic) stemmer. | |
| tech,6-2-P03-1050,ak | The <term> stemming model </term> is based on <term> statistical machine translation </term> and it uses an <term> English stemmer </term> and a <term> small ( 10K sentences ) parallel corpus </term> as its sole <term> training resources </term> . | #4454 The stemming model is based on statistical machine translation and it uses an English stemmer and a small (10K sentences) parallel corpus as its sole training resources. | |
| tech,3-7-P03-1050,ak | <term> Task-based evaluation </term> using <term> Arabic information retrieval </term> indicates an improvement of 22-38 % in <term> average precision </term> over <term> unstemmed text </term> , and 96 % of the performance of the proprietary <term> stemmer </term> above . | #4574 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. |
