Google today is declaring that it’s swapping to a modern approach called neural machine translation for translations of text in Russian, Hindi, and Vietnamese in its Google Translate app. The shift away from Google’s phrase-based machine translation system will outcome in more natural, higher-quality translations.
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Google accepted this method to translate from English into Chinese in September, and brought it to English, French, Portuguese, Spanish, German, Chinese, Turkish, Japanese, and Korean translations in November. Now its available additional 3 more languages in Google Translate for Android, iOS, and the web, as well as Google Search and the Google App. It will come next to web page translations in Google’s Chrome browser.
Support for neural machine translation in even more languages will release in the next few weeks, Google Translate product lead Barak Turovsky wrote in a blog post. The commitment isn’t a wonder, but the near-term timeline is. Google has stated it will move to neural machine translation for all 103 of the languages that Translate works with.
Neural machine translation involves training artificial neural networks — in Google’s case, long short-term memory recurrent neural networks (LSTM-RNNs) — on available data and then getting them to make inferences about new incoming queries. Google has also seen this approach to artificial intelligence (AI) to generate Smart Replies to messages in several products, recognize objects and people in images, and even make its data centers run more proficiently.
Google isn’t the company tapping AI to boost translations. Microsoft has done the same thing in its Translator app.
While Google is sufficiently happy with its smarter translations, the corporate will still considerably appreciate real people’s contributions through the Translate Community — people shouldn’t stop conducive to it, Turovsky wrote.