[...] Language industry experts concurred with what Packer had to say next: “We believe, along with most of the research and academic community…that the current approach of statistical, phrase-based MT has kind of reached the end of its natural life.”

Although he concedes that statistical MT is capable of producing technically accurate translations, “they don’t sound like they came from a human. They’re not natural, they don’t flow well,” Packer pointed out.

Packer, whose two-year-old Language Technology team has been working on MT, speech recognition, and natural language understanding, said they are part of the applied machine learning team whose goal is to take AI (artificial intelligence) and apply it, at scale, to Facebook products. More.

See: Slator

Subscribe to the translation news daily digest here. See more translation news.