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Google Neural Machine Translation (GNMT) was a neural machine translation (NMT) system developed by Google and introduced in November 2016 that used an artificial neural network to increase fluency and accuracy in Google Translate.
Nov 22, 2016 · In September, we announced that Google Translate is switching to a new system called Google Neural Machine Translation (GNMT), an end-to-end learning framework that learns from millions of examples, and provided significant improvements in translation quality.
2 hours ago · How Google Translate Uses Cutting-Edge AI to Power Its Translation Bots. The field of machine translation has progressed through several generations of technological approaches since its early Cold War-era origins. But the technique that powers Google‘s translation bots today, neural machine translation, is by far the most powerful approach yet.
Nov 15, 2016 · Today, we’re introducing the next step in making Google Translate even better: Neural Machine Translation. Neural Machine Translation has been generating exciting research results for a few years and in September, our researchers announced Google's version of this technique.
- Barak Turovsky
Sep 27, 2016 · The Google Translate mobile and web apps are now using GNMT for 100% of machine translations from Chinese to English—about 18 million translations per day.
Jun 8, 2020 · Neural Machine Translation (NMT) models are trained using examples of translated sentences and documents, which are typically collected from the public web. Compared to phrase-based machine translation, NMT has been found to be more sensitive to data quality.
Jun 12, 2018 · Just about two years ago we introduced neural machine translation (NMT) to Google Translate, significantly improving accuracy of our online translations. Today, we’re bringing NMT technology offline—on device.
