617 resultados para dictionaries


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O dicionário bilíngüe e o aprendizado de línguas estrangeiras sempre estiveram associados. Este artigo procura evidenciar como o papel do dicionário bilíngüe foi se alterando com as mudanças no ensino de línguas estrangeiras e como isso pode estar relacionado ao movimento de evolução da lexicografia bilíngüe no sentido de tornar os dicionários mais adequados às necessidades dos aprendizes de línguas estrangeiras.

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Due to factors such as globalization and the demography of Hispanic countries, the Spanish language has influenced worldwide, especially since the last decade of the 20th century, mainly countries which are geographically close to Spanish American countries, such as Brazil. In this context, it is necessary to think of the linguistic variation of the Spanish language, in which we emphasize the lexical variation. As any language, Spanish has a colossal and wealthy lexicon with different varieties related to the characteristics from each region: history, culture, customs etc. This diversity influences the development, the amplification and the renewal of a language, as well as the teaching-learning process. Thus, we proposed to analyze the lexicon varieties of Spanish language entries in some Spanish-Portuguese bilingual dictionaries for Brazilian learners. In order to achieve this goal, we selected some examples of lexical variety in a corpus organized with texts of different textual genres and we verified if these lexical items are registered in the dictionaries chosen. As the corpus is organized from texts present in didactic manuals used in Brazil, our goal is to verify if the vocabulary which the Brazilian learner has contact in formal education is registered in the analyzed dictionaries.

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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.

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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.

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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Pós-graduação em Estudos Linguísticos - IBILCE

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Pós-graduação em Estudos Linguísticos - IBILCE

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Pós-graduação em Estudos Linguísticos - IBILCE

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Pós-graduação em Estudos Linguísticos - IBILCE