961 resultados para Multifaceted explanation
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Statistical machine translation (SMT) is an approach to Machine Translation (MT) that uses statistical models whose parameter estimation is based on the analysis of existing human translations (contained in bilingual corpora). From a translation student’s standpoint, this dissertation aims to explain how a phrase-based SMT system works, to determine the role of the statistical models it uses in the translation process and to assess the quality of the translations provided that system is trained with in-domain goodquality corpora. To that end, a phrase-based SMT system based on Moses has been trained and subsequently used for the English to Spanish translation of two texts related in topic to the training data. Finally, the quality of this output texts produced by the system has been assessed through a quantitative evaluation carried out with three different automatic evaluation measures and a qualitative evaluation based on the Multidimensional Quality Metrics (MQM).
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This paper serves as a background for the International High Level Energy Conference organised by Egmont - Royal Institute for International Relations - and the Development Group in Brussels on 10th May 2012
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This paper seeks to explain why the European Union (EU) has had limited influence in Armenia and Azerbaijan in the framework of the European Neighbourhood Policy (ENP). Combining approaches from external governance, norm diffusion and structural foreign policy, it offers an explanation based on domestic factors in the two countries: the political regime, state capacity, political structures, domestic incentives and the perceived legitimacy of EU rules. Although willingness to reform appears to exist in Armenia, such willingness remains constrained by the country’s vulnerable geopolitical location and high dependence on Russia. By contrast, none of the domestic preconditions for EU influence identified by the analytical framework were found in Azerbaijan. The author argues that the Eastern Partnership has not properly addressed the extent to which the clan structures feed into informal political practices and enforce the sustainability of an existing regime in both countries, and that, in addition, the EU has underestimated the multipolar environment which the two countries have to operate in, making it unlikely that the current policy can reach its objectives in Armenia and Azerbaijan.
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Several immunomodulatory factors are involved in malaria pathogenesis. Among them, heme has been shown to play a role in the pathophysiology of severe malaria in rodents, but its role in human severe malaria remains unclear. Circulating levels of total heme and its main scavenger, hemopexin, along with cytokine/chemokine levels and biological parameters, including hemoglobin and creatinine levels, as well as transaminase activities, were measured in the plasma of 237 Plasmodium falciparum-infected patients living in the state of Odisha, India, where malaria is endemic. All patients were categorized into well-defined groups of mild malaria, cerebral malaria (CM), or severe noncerebral malaria, which included acute renal failure (ARF) and hepatopathy. Our results show a significant increase in total plasma heme levels with malaria severity, especially for CM and malarial ARF. Spearman rank correlation and canonical correlation analyses have shown a correlation between total heme, hemopexin, interleukin-10, tumor necrosis factor alpha, gamma interferon-induced protein 10 (IP-10), and monocyte chemotactic protein 1 (MCP-1) levels. In addition, canonical correlations revealed that heme, along with IP-10, was associated with the CM pathophysiology, whereas both IP-10 and MCP-1 together with heme discriminated ARF. Altogether, our data indicate that heme, in association with cytokines and chemokines, is involved in the pathophysiology of both CM and ARF but through different mechanisms.
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By switching the level of analysis and aggregating data from the micro-level of individual cases to the macro-level, quantitative data can be analysed within a more case-based approach. This paper presents such an approach in two steps: In a first step, it discusses the combination of Social Network Analysis (SNA) and Qualitative Comparative Analysis (QCA) in a sequential mixed-methods research design. In such a design, quantitative social network data on individual cases and their relations at the micro-level are used to describe the structure of the network that these cases constitute at the macro-level. Different network structures can then be compared by QCA. This strategy allows adding an element of potential causal explanation to SNA, while SNA-indicators allow for a systematic description of the cases to be compared by QCA. Because mixing methods can be a promising, but also a risky endeavour, the methodological part also discusses the possibility that underlying assumptions of both methods could clash. In a second step, the research design presented beforehand is applied to an empirical study of policy network structures in Swiss politics. Through a comparison of 11 policy networks, causal paths that lead to a conflictual or consensual policy network structure are identified and discussed. The analysis reveals that different theoretical factors matter and that multiple conjunctural causation is at work. Based on both the methodological discussion and the empirical application, it appears that a combination of SNA and QCA can represent a helpful methodological design for social science research and a possibility of using quantitative data with a more case-based approach.
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"March 1937."
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"A sequel to the Homophonic forms and Applied counterpoint."--Pref.
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Mode of access: Internet.
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The "Manuscrit venu de Sainte Héléne" and an English translation, "Manuscript transmitted from St. Helena" were first published anoymously, London, John Murray, 1817: a number of editions and translation in many languages have appeared since.
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Mode of access: Internet.
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Mode of access: Internet.
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Mode of access: Internet.