Turpilóquio em português e italiano: reflexões sobre marcas de uso de itens tabus em dicionários

In this paper, we tried to understand the place of taboo words and their importance in the language. We focused questions about the taboo and how words can be prohibited. We elected swear words as our object of research because these words have an important place in the lexicon of many speakers, and they are present in books and movies, as well as in the everyday speech. Therefore, we tried to show that they must be analyzed with attention and also free from prejudices. We found out that the use of bad words can be very different in the languages selected and they reflect thus the culture of the languages involved.

Image categorization through optimum path forest and visual words

Different from the first attempts to solve the image categorization problem (often based on global features), recently, several researchers have been tackling this research branch through a new vantage point - using features around locally invariant interest points and visual dictionaries. Although several advances have been done in the visual dictionaries literature in the past few years, a problem we still need to cope with is calculation of the number of representative words in the dictionary. Therefore, in this paper we introduce a new solution for automatically finding the number of visual words in an N-Way image categorization problem by means of supervised pattern classification based on optimum-path forest. © 2011 IEEE.