Development of machine translation technology for assisting health communication: A systematic review

Kristin Dew

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Anne M. Turner

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Yong K. Choi

Alyssa Bosold

Katrin Kirchhoff

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Journal of Biomedical Informatics, pp. 56-67, 2018.

Cited by: 13|Bibtex|Views12|DOI:https://doi.org/10.1016/j.jbi.2018.07.018

Other Links: dblp.uni-trier.de|academic.microsoft.com|www.sciencedirect.com

Keywords:

Public healthPublic health informaticsNatural language processingHealth communicationHealth literacy

Abstract:

•Current machine translation systems lack sufficient accuracy for clinical deployment.•Pre- and post-editing can augment the accuracy of machine translations in health.•Standardized methods for evaluating machine translations in health are needed.

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