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 health materials with original Chinese health resources developed by the Chinese health authorities.

Methods

Using natural language processing tools for the assessment of the readability of Chinese materials, we explored and compared the readability of Chinese health translations from the World Health Organization with original

SUBMITTER: Ji M 

PROVIDER: S-EPMC8532010 | biostudies-literature | 2021 Oct

REPOSITORIES: biostudies-literature