Testing a methodological framework for retrieving parallel texts in the domain of business translation

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Title: Testing a methodological framework for retrieving parallel texts in the domain of business translation
Authors: Gallego-Hernández, Daniel
Research Group/s: Traducción y Economía (TRADECO)
Center, Department or Service: Universidad de Alicante. Departamento de Traducción e Interpretación
Keywords: Business translation | Parallel texts | Search engines | Search queries
Knowledge Area: Traducción e Interpretación
Issue Date: 2018
Publisher: Routledge
Citation: Perspectives: Studies in Translatology. 2018, 26(1): 39-53. doi:10.1080/0907676X.2017.1290122
Abstract: 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.
URI: http://hdl.handle.net/10045/84107
ISSN: 0907-676X (Print) | 1747-6623 (Online)
DOI: 10.1080/0907676X.2017.1290122
Language: eng
Type: info:eu-repo/semantics/article
Rights: © 2017 Informa UK Limited, trading as Taylor & Francis Group
Peer Review: si
Publisher version: https://doi.org/10.1080/0907676X.2017.1290122
Appears in Collections:INV - TRADECO - Artículos de Revistas

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