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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.
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.
Google Translate is a multilingual neural machine translation service developed by Google to translate text, documents and websites from one language into another.
Yes, they’re good for more than just trippy art —if you're translating a foreign menu or sign with the latest version of Google's Translate app, you're now using a deep neural net. And the amazing part is it can all work on your phone, without an Internet connection. Here’s how. Step by step.
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
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.
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.
