Johns Hopkins scientists to build machine translation system for obscure languages
October 9, 2017
The project is meant to sharply cut the time and the amount of information needed to put a translation system into use for intelligence agents.
The project is meant to sharply cut the time and the amount of information needed to put a translation system into use for intelligence agents.
Advances in artificial intelligence are improving the possibility of real-time language translation. Philipp Koehn, professor of computer science and member of the Center for Language and Speech Processing, comments.
Philipp Koehn, Jason Eisner, and Chadia Abras are devising an interactive program that monitors a student’s comprehension and subtly introduces more foreign words each time a passage of text is read.