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Erschienen in:
2005 | OriginalPaper | Buchkapitel
STEMBR: A Stemming Algorithm for the Brazilian Portuguese Language
verfasst von : Reinaldo Viana Alvares, Ana Cristina Bicharra Garcia, Inhaúma Ferraz
Erschienen in: Progress in Artificial Intelligence
Verlag: Springer Berlin Heidelberg
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Stemming algorithms have traditionally been utilized in information retrieval systems as they generate a more concise word representation. However, the efficiency of these algorithms varies according to the language they are used with. This paper presents STEMBR, a stemmer for Brazilian Portuguese whereby the suffix treatment is based on a statistical study of the frequency of the last letter for words found in Brazilian web pages. The proposed stemmer is compared with another algorithm specifically developed for Portuguese. The results show the efficiency of our stemmer.