01 Aug18 Issue #3 – Improving vocabulary coverage Author: Raj Nath Patel, Machine Translation Scientist @ Iconic Machine Translation typically operates with a fixed vocabulary, i.e. it knows how to translate a finite number of words. This is obviously an issue, because translation is an open vocabulary problem: we might want to translate any possible word! This is a particular issue for Neural MT where the vocabulary needs to be limited at the beginning for technical reasons. The problem is […]