Google’s Neural Network for Language Translation Narrows Gap Between Machines & Humans

Deep Learning By virtue of how many words, phrases, and grammar rules there are, you can only imagine how difficult it is for a person to deliver a translation from one language to another that accurately conveys the thought and nuance behind even the simplest sentence, let alone how difficult it would be for a machine. This, however, was a challenge that Google wanted to tackle head on, and today, the results of all those years spent working on a machine learning translation system were finally unveiled. Languages are naturally phrase-based, so letting machines learn as many of those phrases and the subtleties behind the language as possible so that they could be applied to the translation was essential. Getting machines to do all that requires a lot of data, and adding complex…


Link to Full Article: Google’s Neural Network for Language Translation Narrows Gap Between Machines & Humans