A detailed analysis of English stemming algorithms Export

@techreport{citeulike:1153469, abstract = {We present a study comparing the performance of traditional stemming algorithms based on suffix removal to linguistic methods performing morphological analysis. The results indicate that most conflation algorithms perform about 5\% better than no stemming, and there is little difference between methods in terms of average performance. However, a detailed analysis of individual queries indicates that performance on this level is often highly sensitive to the choice of stemming technique. From...}, author = {Hull, D. and Grefenstette, G.}, citeulike-article-id = {1153469}, citeulike-linkout-0 = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.21.3856}, institution = {Rank XEROX}, keywords = {ir, nlp}, posted-at = {2007-03-11 09:08:42}, priority = {2}, title = {A detailed analysis of English stemming algorithms}, url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.21.3856}, year = {1996} }

TY - RPRT ID - citeulike:1153469 L3 - citeulike-article-id:1153469 N2 - We present a study comparing the performance of traditional stemming algorithms based on suffix removal to linguistic methods performing morphological analysis. The results indicate that most conflation algorithms perform about 5% better than no stemming, and there is little difference between methods in terms of average performance. However, a detailed analysis of individual queries indicates that performance on this level is often highly sensitive to the choice of stemming technique. From... TI - A detailed analysis of English stemming algorithms KW - ir KW - nlp AU - Hull, D AU - Grefenstette, G PY - 1996/// UR - http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.21.3856 ER -