Google Translate Boosted by Deep Learning

Machine translation is quite difficult, especially between certain pairs of languages that vary greatly in how they handle implied context and intonation. At Google, the current translation system picks out known words and phrases, converts them to the target language, and blindly outputs them. This, unfortunately, ignores how the phrases are structured together. Google has been working toward a newer system, though. Google Neural Machine Translation (GNMT) considers whole sentences, rather than individual words and phrases. It lists all possible translations, and weighs them based on how humans rate their quality. These values are stored and used to better predict following choices, which should be a familiar concept to those who have been reading up on deep learning over the last couple of years. This new system makes use of…


Link to Full Article: Google Translate Boosted by Deep Learning