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Google and beyond : web-as-corpus methodologies for translators

Authors: FERRARESI, ADRIANO;

Google and beyond : web-as-corpus methodologies for translators

Abstract

Aquest article fa un repàs als plantejaments actuals sobre l'ús del web com a corpus lingüístic i emfatitza els avantatges (així com els inevitables riscos) que aquests poden introduir en el treball del traductor. Per tal d'il·lustrar aquest punt, es mostra un exemple de les diferents maneres en què un corpus derivat del web es pot aplicar profitosament a una tasca de traducció especialitzada..

Este artículo estudia los planteamientos actuales sobre el uso de la web como corpus lingüístico y enfatiza las ventajas (así como los inevitables riesgos) que éstos pueden introducir en el trabajo del traductor. Para ilustrar este punto, se ofrece un ejemplo de las diferentes formas en que un corpus derivado de la web se puede aplicar provechosamente a una tarea de traducción especializada.

This paper presents an overview of current approaches to the use of the web as a linguistic corpus and highlights the advantages (as well as inevitable pitfalls) these may bring to translators' work. To illustrate the point, an example is made of different ways in which web-derived corpora can be profitably applied to a specialised translation task.

Countries
Italy, Spain
Keywords

WEB-AS-CORPUS; TRANSLATION; CORPUS LINGUISTICS METHODS

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green