TransPHorm: Translation of Public Health Information for a Diverse Public

TransPHorm: Translation of Public Health Information for a Diverse Public

Researchers at TransPHorm are investigating the use of machine translation technology to shorten the time and costs of translating public health materials. The end goal of this research is to improve access to health information within limited English proficiency (LEP) populations.

http://www.nwcphp.org/research/projects/current/machine-translation-for-health-information

Publications:
http://ssli.ee.washington.edu/people/katrin/projects/transphorm.html

See also:
https://franzcalvo.wordpress.com/2013/07/19/performance-evaluation-of-a-natural-language-processing-tool-to-extract-infectious-disease-problems

http://www.npr.org/sections/health-shots/2013/04/26/179263051/oregon-s-equation-how-to-measure-health

http://www.npr.org/sections/health-shots/2016/09/23/495050891/are-we-reaching-the-end-of-the-trend-for-longer-healthier-lives

ph123

Speech Recognition Breakthrough for the Spoken, Translated Word

Speech Recognition Breakthrough for the Spoken, Translated Word
Microsoft Research
Nov. 8, 2012

Chief Research Officer Rick Rashid demonstrates a speech recognition breakthrough via machine translation that converts his spoken English words into computer-generated Chinese language.
The breakthrough is patterned after deep neural networks and significantly reduces errors in spoken as well as written translation.