Dicionário onomasiológico de expressões cromáticas da fauna e flora:

Pós-graduação em Estudos Linguísticos - IBILCE

Dicionários do GP 'Lexicologia e lexicografia contrastiva'

Conselho Nacional de Desenvolvimento em Pesquisa (CNPq)

Automatic visual dictionary generation through Optimum-Path Forest clustering

Image categorization by means of bag of visual words has received increasing attention by the image processing and vision communities in the last years. In these approaches, each image is represented by invariant points of interest which are mapped to a Hilbert Space representing a visual dictionary which aims at comprising the most discriminative features in a set of images. Notwithstanding, the main problem of such approaches is to find a compact and representative dictionary. Finding such representative dictionary automatically with no user intervention is an even more difficult task. In this paper, we propose a method to automatically find such dictionary by employing a recent developed graph-based clustering algorithm called Optimum-Path Forest, which does not make any assumption about the visual dictionary's size and is more efficient and effective than the state-of-the-art techniques used for dictionary generation. © 2012 IEEE.

Dicionários bilíngues pedagógicos: análise, reflexões e propostas

Pós-graduação em Estudos Linguísticos - IBILCE

Dicionário terminológico bilíngüe francês-português de termos jurídicos: tratamento terminográfico e reflexões sobre terminologia bilíngüe

Pós-graduação em Estudos Linguísticos - IBILCE

A simbologia dos animais em expressões idiomáticas inglês-português: uma proposta lexicográfica

Pós-graduação em Estudos Linguísticos - IBILCE

Uso do dicionário no ensino de língua espanhola: proposta de guia teórico-metodológico para professores

Pós-graduação em Linguística e Língua Portuguesa - FCLAR

Automatic visual dictionary generation through optimum-path forest clusteringautomatic visual dictionary generation through optimum-path forest clustering

Image categorization by means of bag of visual words has received increasing attention by the image processing and vision communities in the last years. In these approaches, each image is represented by invariant points of interest which are mapped to a Hilbert Space representing a visual dictionary which aims at comprising the most discriminative features in a set of images. Notwithstanding, the main problem of such approaches is to find a compact and representative dictionary. Finding such representative dictionary automatically with no user intervention is an even more difficult task. In this paper, we propose a method to automatically find such dictionary by employing a recent developed graph-based clustering algorithm called Optimum-Path Forest, which does not make any assumption about the visual dictionary's size and is more efficient and effective than the state-of-the-art techniques used for dictionary generation.

Breve análise discursiva em três dicionários de fraseologia

In the current context of Metalexicography several types of studies have been conducted in order to better understand the organization of existing dictionaries and, thus, constitute a knowledge base that would support the development of new works. Regarding specifically the dictionaries of Phraseology, although there are many researchers who engage in this domain, there is still much to study in order to optimize and boost production as much monolingual as bilingual works. The aim of this paper is to present a brief discursive analysis of three phraseological dictionaries considering the pedagogical aspect.

Etnofaulismos e os dicionários monolíngues brasileiros

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)