900 resultados para Task based language learning


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imaxin|software es una empresa creada en 1997 por cuatro titulados en ingeniería informática cuyo objetivo ha sido el de desarrollar videojuegos multimedia educativos y procesamiento del lenguaje natural multilingüe. 17 años más tarde, hemos desarrollado recursos, herramientas y aplicaciones multilingües de referencia para diferentes lenguas: Portugués (Galicia, Portugal, Brasil, etc.), Español (España, Argentina, México, etc.), Inglés, Catalán y Francés. En este artículo haremos una descripción de aquellos principales hitos en relación a la incorporación de estas tecnologías PLN al sector industrial e institucional.

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In this article it is offered a different view of the role of phraseology in the foreign language class. Considering the holistic nature of language, phraseological units are conceived as inherent elements in the verbal communication, which confirms its importance in the formation process of the communicative competence in a foreign language. With attention to the modular conceptions of the communicative competence (Canale 1983) and of the phraseological meaning (Timofeeva 2012), it is proposed conceiving the phraseology as a starting point for developing the different parts of communicative competence. As it is explained, phraseological meaning is conformed by several informational chunks articulated in two levels, the semantic and the pragmatic. The connexions between these chunks and the parts of communicative competence allow to use more effectively the phraseological contents for the foreign language learning and teaching.

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Relatório de Estágio apresentado à Escola Superior de Educação de Castelo Branco do Instituto Politécnico de Castelo Branco para cumprimento dos requisitos necessários à obtenção do grau de Mestre em Educação Pré-escolar e Ensino do 1º ciclo do Ensino Básico.

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Evolutionary-based algorithms play an important role in finding solutions to many problems that are not solved by classical methods, and particularly so for those cases where solutions lie within extreme non-convex multidimensional spaces. The intrinsic parallel structure of evolutionary algorithms are amenable to the simultaneous testing of multiple solutions; this has proved essential to the circumvention of local optima, and such robustness comes with high computational overhead, though custom digital processor use may reduce this cost. This paper presents a new implementation of an old, and almost forgotten, evolutionary algorithm: the population-based incremental learning method. We show that the structure of this algorithm is well suited to implementation within programmable logic, as compared with contemporary genetic algorithms. Further, the inherent concurrency of our FPGA implementation facilitates the integration and testing of micro-populations.

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Includes bibliographical references.

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Mode of access: Internet.

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Research has suggested that the integrity of semantic processing may be compromised in Parkinson's disease (PD), which may account for difficulties in complex sentence comprehension. In order to investigate the time course and integrity of semantic activation in PD, 20 patients with PD and 23 healthy controls performed a lexical decision task based on the multi-priming paradigm. Semantic priming effects were measured across stimulus onset asynchronies of 250 ms, 600 ms, and 1200 ms. Further, PD participants performed an auditory comprehension task. The results revealed significantly different patterns of semantic priming for the PD group at the 250-ms and 1200-ms SOAs. In addition, a delayed time course of semantic activation was evident for PD patients with poor comprehension of complex sentences. These results provide further support to suggest that both automatic and controlled aspects of semantic activation may be compromised in PD. Furthermore, the results also suggest that some sentence comprehension deficits in PD may be related to a reduction in information processing speed.

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There is evidence that alienation from science is linked to the dominant discourse practices of science classrooms (cf. Lemke, J. L. (1990). Talking Science: Language, Learning, and Values. Norwood, NJ: Ablex). Yet, in secondary science education it is particularly hard to find evidence of curriculum reform that includes explicit changes in pedagogic discourses to accommodate the needs of students from a wide range of backgrounds. However, such evidence does exist and needs to be highlighted wherever it is found to help address social justice concerns in science education. In this article, I show how critical discourse analysis can be used to explore a way of challenging the dominant discourse in teacher-student interactions in science classrooms. My findings suggest a new way of moving toward more socially just science curricula in middle years and secondary classrooms by using hybrid discourses that can serve emancipatory purposes. © 2005 Wiley Periodicals. Inc.

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Since Z, being a state-based language, describes a system in terms of its state and potential state changes, it is natural to want to describe properties of a specified system also in terms of its state. One means of doing this is to use Linear Temporal Logic (LTL) in which properties about the state of a system over time can be captured. This, however, raises the question of whether these properties are preserved under refinement. Refinement is observation preserving and the state of a specified system is regarded as internal and, hence, non-observable. In this paper, we investigate this issue by addressing the following questions. Given that a Z specification A is refined by a Z specification C, and that P is a temporal logic property which holds for A, what temporal logic property Q can we deduce holds for C? Furthermore, under what circumstances does the property Q preserve the intended meaning of the property P? The paper answers these questions for LTL, but the approach could also be applied to other temporal logics over states such as CTL and the mgr-calculus.

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In this paper, we present a formal hardware verification framework linking ASM with MDG. ASM (Abstract State Machine) is a state based language for describing transition systems. MDG (Multiway Decision Graphs) provides symbolic representation of transition systems with support of abstract sorts and functions. We implemented a transformation tool that automatically generates MDG models from ASM specifications, then formal verification techniques provided by the MDG tool, such as model checking or equivalence checking, can be applied on the generated models. We support this work with a case study of an Island Tunnel Controller, which behavior and structure were specified in ASM then using our ASM-MDG tool successfully verified within the MDG tool.

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A presente pesquisa tem como objetivo abordar a questão da política de inclusão brasileira e sua real aplicação nas escolas regulares levando em consideração a não utilização de salas especiais, especificamente ao que se refere à disciplina de Língua Espanhola. Aponta os benefícios da convivência com a diversidade para todos os alunos, com ou sem necessidades educacionais especiais, seja quanto ao respeito diante das diferenças, seja quanto aos estímulos no desenvolvimento. Indaga ao que diz respeito a real aprendizagem educacional dos alunos incluídos na sala regular na educação não especial. Discorre sobre o que dizem estudiosos sobre a inclusão escolar de acordo com a literatura educacional objetivando o aprendizado humano e o ensino de idiomas. Busca a reflexão da formação do professor de letras habilitado em língua espanhola diante da realidade da inclusão, a partir da ação investigativa das políticas públicas de formação de professores, bem como às Diretrizes Curriculares Nacionais para as licenciaturas.

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This study aimed firstly to investigate current patterns of language use amongst young bilinguals in Birmingham and secondly to examine the relationship between this language use and educational achievement. The research then focussed on various practices, customs and attitudes which would favour the attrition or survival of minority languages in the British situation. The data necessary to address this question was provided by a sample of three hundred and seventy-four 16-19 year olds, studying in Birmingham schools and colleges during the period 1987-1990 and drawn from the main linguistic minority communities in Birmingham. The research methods chosen were both quantitative and qualitative. The study found evidence of ethnolinguistic vitality amongst many of the linguistic minority communities in Birmingham: a number of practices and a range of attitudes indicate that linguistic diversity may continue and that a stable diglossic situation may develop in some instances, particularly where demographical and religious factors lead to closeness of association. Where language attrition is occurring it is often because of the move from a less prestigious minority language or dialect to a more prestigious minority language in addition to pressures from English. The educational experience of the sample indicates that literacy and formal language study are of key importance if personal bilingualism is to be experienced as an asset; high levels of oral proficiency in the L1 and L2 do not, on their own, necessarily correlate with positive educational benefit. The intervening variable associated with educational achievement appears to be the formal language learning process and literacy. A number of attitudes and practices, including the very close associations maintained with some of the countries of origin of the families, were seen to aid or hinder first language maintenance and second language acquisition.

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Seminar discussion is an important mode of instruction in Higher Education. However, the discourse of discussion in academic seminars has been little investigated. Until now, there has existed only a limited amount of empirically based language description which could be used to inform those working in the field of English for Academic Purposes. The present study investigates discussion in seminars on a MBA programme and offers frameworks to account for central aspects of the verbal interaction: exchange patterns; acts and moves initiating exchanges and strategies. Three subgenres of seminar discussion are examined: the discussion following the presentation by an outside speaker; the discussion following the presentation by students and non-presentation tutorial discussion. Exchanges are found to be basically two-part structures of initiation and response. Some extended patterns are brought to light and it is argued that the major impetus prolonging exchanges in discussion is a third-part move registering dissatisfaction with the initial responses given. Exchanges are observed to be driven by moves functioning as elicitations although acts at initiation both ask for information and ideas and propose them. Initiation may be complex and involves a mixture of the acts. Textual signalling and attitudinal strategies used in seminars are explicated. The latter are accounted for in terms of the face concerns of the speakers. The features are examined across the three subgenres. Some quantitative variations were observed. These variations are discussed in the light of situational variables such as levels of participant status and knowledge. Theoretical implications are drawn and applications for syllabus and methodology in English for Academic Purposes are suggested.

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This paper presents a comparative study of three closely related Bayesian models for unsupervised document level sentiment classification, namely, the latent sentiment model (LSM), the joint sentiment-topic (JST) model, and the Reverse-JST model. Extensive experiments have been conducted on two corpora, the movie review dataset and the multi-domain sentiment dataset. It has been found that while all the three models achieve either better or comparable performance on these two corpora when compared to the existing unsupervised sentiment classification approaches, both JST and Reverse-JST are able to extract sentiment-oriented topics. In addition, Reverse-JST always performs worse than JST suggesting that the JST model is more appropriate for joint sentiment topic detection.