Type

Conference Proceedings

Authors

Josef van Genabith
Andy Way
Johann Roturier
Yanjun Ma
Yifan He

Subjects

Linguistics

Topics
translation machine translating statistical machine translation post editing translation memory systems tm systems user experience user study

Improving the post-editing experience using translation recommendation: a user study (2010)

Abstract We report findings from a user study with professional post-editors using a translation recommendation framework (He et al., 2010) to integrate Statistical Machine Translation (SMT) output with Translation Memory (TM) systems. The framework recommends SMT outputs to a TM user when it predicts that SMT outputs are more suitable for post- editing than the hits provided by the TM. We analyze the effectiveness of the model as well as the reaction of potential users. Based on the performance statistics and the users’comments, we find that translation recommendation can reduce the workload of professional post-editors and improve the acceptance of MT in the localization industry.
Collections Ireland -> Dublin City University -> Publication Type = Conference or Workshop Item
Ireland -> Dublin City University -> Subject = Computer Science
Ireland -> Dublin City University -> DCU Faculties and Centres = Research Initiatives and Centres: Centre for Next Generation Localisation (CNGL)
Ireland -> Dublin City University -> Status = Published
Ireland -> Dublin City University -> Subject = Computer Science: Machine translating
Ireland -> Dublin City University -> DCU Faculties and Centres = Research Initiatives and Centres

Full list of authors on original publication

Josef van Genabith, Andy Way, Johann Roturier, Yanjun Ma, Yifan He

Experts in our system

1
Josef van Genabith
Dublin City University
Total Publications: 115
 
2
Andy Way
Dublin City University
Total Publications: 229