Testing a methodological framework for retrieving parallel texts in the domain of business translation
Bibliographic Data
| ID | 12183290 |
|---|---|
| Authors | Daniel Gallego-Hernández (0000-0001-8081-882X, University of Alicante, corresponding author) |
| Year | 2017 |
| Volume | 26 |
| Issue | 1 |
| Pages | 39-53 |
| Publication date | 2017-03-01 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Perspectives (JOURNAL) |
| Journal identifiers | ISSN: 0907-676X • E-ISSN: 1747-6623 |
| Publisher | Taylor & Francis (PUBLISHER • GB) |
| DOI | 10.1080/0907676x.2017.1290122 |
| OpenAlex | W2737402062 |
| Language | EN |
| References cited | 1 |
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
Data science · Domain (mathematical analysis · Information retrieval · Natural language processing · Translation (biology · Chemistry · Computer Science · Mathematics · Web Data Mining and Analysis · Web visibility and informetrics
| Highly cited | No |
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