ACM SIGIR Forum
Viewing morphology as an inference process
SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
An evaluation method for stemming algorithms
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
Stemming algorithms: a case study for detailed evaluation
Journal of the American Society for Information Science - Special issue: evaluation of information retrieval systems
A Study on the Use of Stemming for Monolingual Ad-Hoc Portuguese Information Retrieval
Evaluation of Multilingual and Multi-modal Information Retrieval
STEMBR: a stemming algorithm for the Brazilian Portuguese language
EPIA'05 Proceedings of the 12th Portuguese conference on Progress in Artificial Intelligence
Proceedings of the 6th International Conference on Semantic Systems
An accuracy-enhanced light stemmer for arabic text
ACM Transactions on Speech and Language Processing (TSLP)
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The quality of stemming algorithms is typically measured in two different ways: (i) how accurately they map the variant forms of a word to the same stem; or (ii) how much improvement they bring to Information Retrieval. In this paper, we evaluate different Portuguese stemming algorithms in terms of accuracy and in terms of their aid to Information Retrieval. The aim is to assess whether the most accurate stemmers are also the ones that bring the biggest gain in Information Retrieval. Our results show that some kind of correlation does exist, but it is not as strong as one might have expected.