Google’s neural network learns to translate languages it hasn’t been trained on • The Register

The gap between human and machine translators could be narrowing as researchers find a new way to improve the learning capabilities of Google Translate’s neural network.

On the same day that Google announced its translation services were now operating with its Neural Machine Translation (NMT) system, a team of researchers released a paper on arXiv showing how its NMT could be pushed one step further.

An NMT is a large single neural network that learns to translate by being trained on a pair of languages. Google Translate has been around for ten years, and before an NMT was used, it often provided a clumsy attempt at translation. Sentences could be lost in translation because individual phrases were translated together instead of whole sentences.

Read more: Google’s neural network learns to translate languages it hasn’t been trained on • The Register

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Mike Rawson

Mike Rawson has recently re-awoken a long-standing interest in robots and our automated future. He lives in London with a single android - a temperamental vacuum cleaner - but is looking forward to getting more cyborgs soon.

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Google’s neural network learns to translate languages it hasn…

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