Testing a methodological framework for retrieving parallel texts in the domain of business translation
Daniel Gallego Hernández · Perspectives · 2017
Parallel texts complement other documentary resources such as dictionaries, glossaries, and terminology databases. Although translators have used them for a long time, there seems to be a lack of consensus on both how to design and how to use them. Against this backdrop, I propose a methodological framework that systematises the retrieval of parallel texts with search engines. First, I review a number of studies on the concept of parallel texts as well as the use of search engines in translation. Next, I describe the proposed framework. I then consider a series of case studies and apply the model to 10 texts from the field of economics and business. The aim is to assess the hits Google provides in response to a series of search queries. The results obtained show how useful a detailed knowledge of the texts to be retrieved and their possible location on the web is.