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Rio de Janeiro, Brasil: Objetiva. Russell, S.

Rio de Janeiro, Brasil: Elsevier. Sacconi, L. Schinke, R.

A stemming algorithm for Latin text databases. Journal of Documentation, 52 2 , Silva, C. Rio de Janeiro, Brasil: Barsa Planeta, The Newbury House dictionary of American English.

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Vendryes, J. Xu, J. Corpus-based stemming using co-occurrence of word variants.

The significance of information retrieval has been increased as a result of the increasing frequency with which digital files are created and used.

One of the many strategies for processing texts for the indexing of their contents in information retrieval systems is called stemming, which consists in the reduction of similar words to the same unvarying representation.

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Stemming relies on the morphological structure of the language with which it is intended to work. This paper aims at defining the concept of stemming, presenting the algorithms available for Portuguese and commenting on several topics related to the use of this type of algorithms.

Literature review on stemming for Portuguese known to the authors. To this day, there are only three algorithms published which deal with stemming in Portuguese: Porter's, Orengo's and Gonzalez's.

Today,improvement in terms of stemming for the Portuguese language cannot be achieved successfully, since there is little research being done in this area.

Information retrieval: Upper Saddle River, NJ: Prentice Hall. Do espanhol: Exemplo dado com base no algoritmo de Orengo Contents Author index Subject index Search Home.

Figura 1: Viera, A. Check for citations, using Google Scholar.

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Uma revisão dos algoritmos de radicalização em língua portuguesa

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Auch wenn Broker rechtlich angehalten sind Ihre Daten mit usserster Sorgfalt zu behandeln, gibt morre ein zustliches Gefhl von Sicherheit.Thus, bird, play, dance, cran-, -y, -ing are morphemes. From this category trail, after a similarity analysis with other trails and the score of resource recommendation, the application used by Helen returned the establishments presented in Table 9.

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The second scenario approached a recommendation according to the category trail. Journal of Documentation, 52 2 ,