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Evaluating the Usefulness of Translation Technologies for Emergency Response Communication: A Scenario-Based Study
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PHAST: A Collaborative Machine Translation and Post-Editing Tool for Public Health
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Abstract:
This paper describes a novel collaborative machine translation (MT) plus post-editing system called PHAST (Public Health Automatic System for Translation, phastsystem.org), tailored for use in producing multilingual education materials for public health. Its collaborative features highlight a new approach in public health informatics: sharing limited bilingual translation resources via a groupware system. We report here on the design methods and requirements used to develop PHAST and on its evaluation with potential public health users. Our results indicate such a system could be a feasible means of increasing the production of multilingual public health materials by reducing the barriers of time and cost. PHAST’s design can serve as a model for other communities interested in assuring the accuracy of MT through shared language expertise.
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Keyword:
Articles
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URL: http://www.ncbi.nlm.nih.gov/pubmed/26958182 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4765627/
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A Conjoint Analysis Framework for Evaluating User Preferences in Machine Translation
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Exploring Local Public Health Workflow in the Context of Automated Translation Technologies
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Local Health Department Translation Processes: Potential of Machine Translation Technologies to Help Meet Needs
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Using Crowdsourcing Technology for Testing Multilingual Public Health Promotion Materials
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Application of statistical machine translation to public health information: a feasibility study
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