Predicting the Linguistic Accessibility of Chinese Health Translations: Machine Learning Algorithm Development
Abstract
Background Linguistic accessibility has an important impact on the reception and utilization of translated health resources among multicultural and multilingual populations. Linguistic understandability of health translation has been understudied. Objective Our study aimed to develop novel machine learning models for the study of the linguistic accessibility of health translations comparing Chinese translations of the World Health Organization...
Paper Details
Title
Predicting the Linguistic Accessibility of Chinese Health Translations: Machine Learning Algorithm Development
Published Date
Oct 7, 2021
Journal
Volume
9
Issue
10
Pages
e30588 - e30588
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