Integrating Online and Active Learning in a Computer-Assisted Translation Workbench

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Integrating Online and Active Learning in a Computer-Assisted Translation Workbench

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Title: Integrating Online and Active Learning in a Computer-Assisted Translation Workbench
Author: Alabau, Vicent; González-Rubio, Jesús; Ortiz-Martínez, Daniel; Sanchis-Trilles, Germán; García-Martínez, Mercedes; Mesa-Lao, Bartolomé; Cheung Pedersen, Dan; Dragsted, Barbara; Carl, Michael
Abstract: This paper describes a pilot study with a computed-assisted translation workbench aiming at testing the integration of online and active learning features. We investigate the effect of these features on translation productivity, using interactive translation prediction (ITP) as a baseline. User activity data were collected from five beta testers using key-logging and eye-tracking. User feedback was also collected at the end of the experiments in the form of retrospective think-aloud protocols. We found that OL performs better than ITP, especially in terms of trans- lation speed. In addition, AL provides better translation quality than ITP for the same levels of user effort. We plan to incorporate these features in the final version of the workbench.
URI: http://hdl.handle.net/10398/9070
Date: 2014-12-17
Notes: Paper presented at The 11th Conference of the Association for Machine Translation in the Americas 2014, okt. 22-26. Vancouver, Canada

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