Google introduces neural machine learning systems to improve translation, approach human-level …

Though Google Translate is one of the most powerful language translation tools, the company still thinks there’s room for major improvement. And it is now working towards creating a model which can translate phrases from one language to another automatically. Much like every other product, Google has been working on integrating machine learning translation techniques into this system as well. And today seems to be the day, we can finally see it in action.Google Neural Machine Translation system, or GNMT which utilizes state-of-the-art training techniques for improved translations has today been introduced into one of the most difficult language pair: Chinese to English. Let’s take a brief look into these complex machine learning models, and how they’re making complex translations easier.Though phrase-based machine translation algorithms used to be the core of the translation service, the complexity of…


Link to Full Article: Google introduces neural machine learning systems to improve translation, approach human-level …

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