970 resultados para Language sciences


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O presente estudo investiga os posicionamentos e a agência de participantes de um Sarau Bilíngue. O Sarau é uma proposta didática / pedagógica, desenvolvida no Curso Bilíngue de Pedagogia do Instituto Nacional de Educação de Surdos INES e visa integrar surdos e ouvintes, de forma lúdica, proporcionando práticas de letramento que envolvem dramatizações, traduções e adaptações de textos da língua portuguesa para LIBRAS, contribuindo para o acesso à literatura e à música, o rompimento de barreiras e a quebra de preconceitos mediada pela arte. O estudo tem caráter interdisciplinar e de cunho etnográfico, dialogando com os campos da Sociologia, Ciências Sociais, Fonoaudiologia, Educação, Surdez e localizando-se na área da Linguística Aplicada. É realizado a partir de uma entrevista de grupo, analisada qualitativa e interpretativamente. A análise é desenvolvida à luz dos conceitos de posicionamento (DAVID e HARRÉ,1999), agência (AHEARN, 2001) e construções identitárias (HALL, 2006; CASTELLS, 1999) sinalizados por pistas lexicais. A análise mostra os posicionamentos, agência e construções identitárias emergentes durante a entrevista e como contribuem para a construção do letramento (GEE, 1990; KLEIMAN, 2005) dos participantes a partir de sua participação em um Sarau Bilíngue

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This report is divided into six sections, the first of which provides information on documents that emphasize the need for education/training of minorities in the sciences including marine science. Also provided is material students can use to find out about careers in the sciences, some universities that offer marine science education, and curricula that should be considered. The second section deals with existing programs designed to train pre-college students and prepare them either for further education or potential employment in the sciences. The next four sections deal with existing programs in the marine sciences for college-level students, scholarships and scholarship programs, examples of loan programs, and internships and internship programs.

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This paper investigates a method of automatic pronunciation scoring for use in computer-assisted language learning (CALL) systems. The method utilizes a likelihood-based `Goodness of Pronunciation' (GOP) measure which is extended to include individual thresholds for each phone based on both averaged native confidence scores and on rejection statistics provided by human judges. Further improvements are obtained by incorporating models of the subject's native language and by augmenting the recognition networks to include expected pronunciation errors. The various GOP measures are assessed using a specially recorded database of non-native speakers which has been annotated to mark phone-level pronunciation errors. Since pronunciation assessment is highly subjective, a set of four performance measures has been designed, each of them measuring different aspects of how well computer-derived phone-level scores agree with human scores. These performance measures are used to cross-validate the reference annotations and to assess the basic GOP algorithm and its refinements. The experimental results suggest that a likelihood-based pronunciation scoring metric can achieve usable performance, especially after applying the various enhancements.