990 resultados para Dictionary catalogs.
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No contexto de internacionalização de hoje, acompanhando os contactos cada vez mais intensos entre o mundo chinês e o mundo lusófono, é exigida a maior atenção à questão da lexicultura na comunicação interlingual e intercultural, pois o que preocupa as partes envolvidas não é apenas descodificar os signos meramente linguísticos, mas também perceber a cultura que a língua, nomeadamente as unidades lexicais transportam, visando um comportamento culturalmente correto e adequado nessa comunicação. Partindo desta preocupação, este trabalho tenta, através da abordagem e análise da língua, da escrita e do léxico chineses, comprovar que o chinês, devido às suas peculiaridades inexistentes em outras línguas do mundo, constitui o vivo exemplo que exemplifica e alarga o conceito de lexicultura, pois a própria língua, sobretudo a sua escrita e as suas unidades lexicais, além de refletirem a cultura popular e partilhada, também contam verdadeiras histórias da Humanidade e da China. Baseando-se nesta abordagem e análise, a tese apresenta um novo modelo de dicionário cultural chinês-português, com propostas concretas de seleção de vedetas para a sua macroestrutura e de definição de vedetas na sua microestrutura, ao serviço da comunicação entre os dois mundos em questão.
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telligence applications for the banking industry. Searches were performed in relevant journals resulting in 219 articles published between 2002 and 2013. To analyze such a large number of manuscripts, text mining techniques were used in pursuit for relevant terms on both business intelligence and banking domains. Moreover, the latent Dirichlet allocation modeling was used in or- der to group articles in several relevant topics. The analysis was conducted using a dictionary of terms belonging to both banking and business intelli- gence domains. Such procedure allowed for the identification of relationships between terms and topics grouping articles, enabling to emerge hypotheses regarding research directions. To confirm such hypotheses, relevant articles were collected and scrutinized, allowing to validate the text mining proce- dure. The results show that credit in banking is clearly the main application trend, particularly predicting risk and thus supporting credit approval or de- nial. There is also a relevant interest in bankruptcy and fraud prediction. Customer retention seems to be associated, although weakly, with targeting, justifying bank offers to reduce churn. In addition, a large number of ar- ticles focused more on business intelligence techniques and its applications, using the banking industry just for evaluation, thus, not clearly acclaiming for benefits in the banking business. By identifying these current research topics, this study also highlights opportunities for future research.
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Transcriptional Regulatory Networks (TRNs) are powerful tool for representing several interactions that occur within a cell. Recent studies have provided information to help researchers in the tasks of building and understanding these networks. One of the major sources of information to build TRNs is biomedical literature. However, due to the rapidly increasing number of scientific papers, it is quite difficult to analyse the large amount of papers that have been published about this subject. This fact has heightened the importance of Biomedical Text Mining approaches in this task. Also, owing to the lack of adequate standards, as the number of databases increases, several inconsistencies concerning gene and protein names and identifiers are common. In this work, we developed an integrated approach for the reconstruction of TRNs that retrieve the relevant information from important biological databases and insert it into a unique repository, named KREN. Also, we applied text mining techniques over this integrated repository to build TRNs. However, was necessary to create a dictionary of names and synonyms associated with these entities and also develop an approach that retrieves all the abstracts from the related scientific papers stored on PubMed, in order to create a corpora of data about genes. Furthermore, these tasks were integrated into @Note, a software system that allows to use some methods from the Biomedical Text Mining field, including an algorithms for Named Entity Recognition (NER), extraction of all relevant terms from publication abstracts, extraction relationships between biological entities (genes, proteins and transcription factors). And finally, extended this tool to allow the reconstruction Transcriptional Regulatory Networks through using scientific literature.
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The Smart Drug Search is publicly accessible at http://sing.ei.uvigo.es/sds/. The BIOMedical Search Engine Framework is freely available for non-commercial use at https://github.com/agjacome/biomsef
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Dissertação de mestrado em Português Língua Não Materna (MPLNM) Português Língua Estrangeira (PLE) e Língua Segunda (PL2)
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Relatório de estágio de mestrado em Tradução e Comunicação Multilingue
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v.1 (1814)
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v.2 (1814)
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t.2 (1852-1856)
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t.1 (1849-1851) [Incomplete]
Catalogue of Australian mammals, with introductory notes on general mammalogy, by J. Douglas Ogilby.