Análise cognitiva do estudo comparativo entre estratégias humanas de tradução e mecanismos de traduções automáticos

Resumo

Although progress in computer science has been quite significant and rapid, as far as machine translation is concerned there is still much to be done. In the rnid-40s, there was already an interest, particularly by the Americans and British, in a faster and more efficient translation of Russian documents. Yet, what we see today in terms of machine translation falls short of what one might call a good translation. To search for an efficient automatic translation, scientists have used, as a primary tool, statistical means to solve the problem. This paper aims to set out a new approach to the question, drawing on cognitive science as its major source of inspiration. The result achieved shows that statistics play an important role in the process, particularly for the definition of some patterns outlined by its means. This paper, however, is meant to inspire research that will draw on cognitive science as a valid means of improvement for greater efficiency in machine translation. With that it proposes semantic overlap as one of the possible ways for such improvements. On the organizational field, it highlights the importance and value of experience as an intelligent means of seeking better results for companies in the same semantic overlap that this experience brings.

Ficha do documento

Tipo

Dissertação

Ano

2010

Instituição

Fundação Getulio Vargas

Fonte

Repositório da FGV

Idioma

Português

Acesso

Não informado

Identificador

oai:repositorio.fgv.br:10438/9029

Temas

Tecnologia

Palavras-chave

CogniçãoInteligência organizacionalInteligência artificialSobreposição semânticaArtificial intelligenceCognitionOrganizational intelligenceSemântic overlapAdministração de empresasTradução mecânicaLinguagens formais - Semântica