The translation features typically used in Phrase-Based Statistical Machine Translation (PB-SMT) model dependencies between the source and target phrases, but not among the phrases in the source ...

Researchers at the University of Amsterdam are using neural networks to help a statistical machine translation systems learn what all human translators know—that the best translation of a word often ...

A team of computer scientists at Johns Hopkins University has won a $10.7 million grant from the Office of the Director of National Intelligence to create an information retrieval and translation ...

UC Berkeley scientists and students looked at current artificial intelligence translation systems and found that, though flawed, they have become good enough for researchers to broadly translate their ...