In this paper we present the prototype based text matching methodology used in the Routing Sub-Task of TREC 2001 Filtering Track. The methodology examines texts on word and sentence levels. On the word level the methodology is based on word coding and transforming the codes into histograms by the means of Weibull distribution. On the sentence level the word coding is done in a similar manner as on the word level. But instead of making histograms we use a more simple method. After the word coding, we transform the sentence vectors to sentence feature vectors using Slant transform. The paper includes also description of the TREC runs and some discussion about the results.