Login (DCU Staff Only)
Login (DCU Staff Only)

DORAS | DCU Research Repository

Explore open access research and scholarly works from DCU

Advanced Search

A user-based usability assessment of raw machine translated technical instructions

Doherty, Stephen orcid logoORCID: 0000-0003-0887-1049 and O'Brien, Sharon orcid logoORCID: 0000-0003-4864-5986 (2012) A user-based usability assessment of raw machine translated technical instructions. In: The 10th Biennial Conference of the Association for Machine Translations in the Americas (AMTA 2012), 28 Oct - 1 Nov 2012, San Diego, California, USA.

Despite the growth of statistical machine translation (SMT) research and development in recent years, it remains somewhat out of reach for the translation community where programming expertise and knowledge of statistics tend not to be commonplace. While the concept of SMT is relatively straightforward, its implementation in functioning systems remains difficult for most, regardless of expertise. More recently, however, developments such as SmartMATE have emerged which aim to assist users in creating their own customized SMT systems and thus reduce the learning curve associated with SMT. In addition to commercial uses, translator training stands to benefit from such increased levels of inclusion and access to state-of-the-art approaches to MT. In this paper we draw on experience in developing and evaluating a new syllabus in SMT for a cohort of post-graduate student translators: we identify several issues encountered in the introduction of student translators to SMT, and report on data derived from repeated measures questionnaires that aim to capture data on students’ self-efficacy in the use of SMT. Overall, results show that participants report significant increases in their levels of confidence and knowledge of MT in general, and of SMT in particular. Additional benefits – such as increased technical competence and confidence – and future refinements are also discussed.
Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Uncontrolled Keywords:Raw machine translations; Usability
Subjects:Computer Science > Machine translating
Humanities > Language
Humanities > Linguistics
DCU Faculties and Centres:Research Institutes and Centres > Centre for Next Generation Localisation (CNGL)
DCU Faculties and Schools > Faculty of Humanities and Social Science > School of Applied Language and Intercultural Studies
Research Institutes and Centres > Centre for Translation and Textual Studies (CTTS)
Official URL:http://amta2012.amtaweb.org/
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Science Foundation Ireland
ID Code:19470
Deposited On:02 Oct 2013 09:53 by Stephen Doherty . Last Modified 19 Jan 2022 12:30

Full text available as:

[thumbnail of AMTA-2012-Doherty-2.pdf]
PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader


Downloads per month over past year

Archive Staff Only: edit this record