Google released the neural network machine translation system (GNMT) in 2016. The Google Neural Machine Translation system improves translation quality by applying the Example-Based (EBMT) machine translation method, where the system learns from millions of examples.
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Google released the neural network machine translation system (GNMT) in 2016.
Google Neural Machine Translation (English: Google Neural Machine Translation, abbreviation: GNMT) is a neural machine translation (NMT) system developed by Google. It was launched in November 2016. It uses artificial neural network to improve the fluency and accuracy of Google Translate.
The Google Neural Machine Translation system improves translation quality by applying the Example-Based (EBMT) machine translation method, where the system learns from millions of examples. The proposed system learning architecture of Translation System was first tested with more than one hundred languages supported by Google Translate. As large end-to-end frameworks evolve, the system learns over time to make better, more natural translations. GNMT can translate entire sentences at once instead of word for word.
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