A new language-translation system called EliMT from Meaningful Machines in New York City uses a statistical technique in an attempt to make machine translation more accurate.

EliMT looks for words with a tendency to cluster together in databases of translations and can refine itself in either a fully automated or a human-assisted manner as more data are entered.