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Consistency in translation memory corpora: a mixed-methods case study

Moorkens, Joss orcid logoORCID: 0000-0003-0766-0071 (2013) Consistency in translation memory corpora: a mixed-methods case study. Journal of Mixed Methods Research, 9 (1). pp. 31-50. ISSN 1558-6898

Abstract
This study investigates the prevalence and causes of inconsistency in translation memories (TM) using a sequential explanatory mixed methods design. The initial quantitative phase introduces a novel method and typology for measuring and categorizing inconsistencies in TM data. The data are the product of professional computer-aided translation of software documentation. In the follow-on qualitative phase, interviewees compare the quantitative results with their professional experience of TMs. Their confirmation of the quantitative results improves the validity of the study. The interview data also increase the utility of the research, suggesting possible causes and solutions for inconsistency. Results are presented interactively, followed by a short discussion of the findings and their consequences.
Metadata
Item Type:Article (Published)
Refereed:Yes
Uncontrolled Keywords:translation technology; translation memory; mixed methods research; interviews
Subjects:Computer Science > Computer software
Humanities > Translating and interpreting
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Humanities and Social Science > School of Applied Language and Intercultural Studies
Research Initiatives and Centres > ADAPT
Research Initiatives and Centres > Centre for Next Generation Localisation (CNGL)
Publisher:Sage Publications
Official URL:http://dx.doi.org/10.1177/1558689813508226
Copyright Information:© 2013 Sage
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Science Foundation Ireland (Grant No. 07/CE/ I1142) as part of the CNGL (www.cngl.ie) at Dublin City University.
ID Code:19617
Deposited On:02 Sep 2020 16:59 by Joss Moorkens . Last Modified 02 Sep 2020 16:59
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