Machine Translation to Improve Access to Multilingual Health Information
The goal of this research study is to investigate current public health translation processes and increase the availability of multilingual public health information for limited English proficiency (LEP) populations through advancing domain-specific machine translation (MT) technology. This project involves 1) investigating the information needs and workflow of public health professionals involved in creating multilingual health materials and 2) developing a novel domain-specific machine translation tool that fits with public health workflow and 3) evaluating the potential impact of using machine translation technology to assist with the production of multilingual consumer health materials. The long term goal of this project is to develop cost effective methods to expand the availability of health information for LEP populations while maintaining accurate and readable content.
Project Keywords: Public Health Informatics