Predicting Risks of Machine Translations of Public Health Resources by Developing Interpretable Machine Learning Classifiers

We aimed to develop machine learning classifiers as a risk-prevention mechanism to help medical professionals with little or no knowledge of the patient’s languages in order to predict the likelihood of clinically significant mistakes or incomprehensible MT outputs based on the features of English s...

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Detalles Bibliográficos
Autores principales: Xie, Wenxiu, Ji, Meng, Huang, Riliu, Hao, Tianyong, Chow, Chi-Yin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8391184/
https://www.ncbi.nlm.nih.gov/pubmed/34444538
http://dx.doi.org/10.3390/ijerph18168789

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8391184/
https://www.ncbi.nlm.nih.gov/pubmed/34444538
http://dx.doi.org/10.3390/ijerph18168789

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