Ontology highlight
ABSTRACT: Background
Chinese is the second most common language spoken by limited English proficiency individuals in the United States, yet there are few public health materials available in Chinese. Previous studies have indicated that use of machine translation plus postediting by bilingual translators generated quality translations in a lower time and at a lower cost than human translations.Objective
The purpose of this study was to investigate the feasibility of using machine translation (MT) tools (eg, Google Translate) followed by human postediting (PE) to produce quality Chinese translations of public health materials.Methods
From state and national public health websites, we collected 60 health promotion documents that had been translated from English to Chinese throu
SUBMITTER: Turner AM
PROVIDER: S-EPMC4869219 | biostudies-literature | 2015 Jul-Dec
REPOSITORIES: biostudies-literature