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Neural machine translation (NMT) is an approach to machine translation that uses an artificial neural network to predict the likelihood of a sequence of words, typically modeling entire sentences in a single integrated model.
- Google Neural Machine Translation
Google Neural Machine Translation (GNMT) is a neural machine...
- Machine translation
Machine translation is use of either rule-based or...
- Google Neural Machine Translation
Aug 7, 2019 · Neural machine translation, or NMT for short, is the use of neural network models to learn a statistical model for machine translation. The key benefit to the approach is that a single system can be trained directly on source and target text, no longer requiring the pipeline of specialized systems used in statistical machine learning.
Neural machine translation. Neural machine translation (NMT) is an approach to machine translation that uses a large artificial neural network to predict the likelihood of a sequence of words, typically modeling entire sentences in a single integrated model.
Jun 30, 2020 · Neural machine translation (NMT) is an approach to machine translation (MT) that uses deep learning techniques, a broad area of machine learning based on deep artificial neural networks (NNs).
Sep 27, 2016 · A Neural Network for Machine Translation, at Production Scale. September 27, 2016. Posted by Quoc V. Le & Mike Schuster, Research Scientists, Google Brain Team. Ten years ago, we announced the launch of Google Translate, together with the use of Phrase-Based Machine Translation as the key algorithm behind this service.
