Neural Machine Translation. Neural machine translation or NMT for short is the use of neural network models to learn a statistical model for machine translation. An example of such a.
Google Neural Machine Translation GNMT is a neural machine translation NMT system developed by Google and introduced in November 2016 that uses an artificial neural network to increase fluency and accuracy in Google Translate. Neural machine translation is a recently proposed approach to machine translation. This state-of-the-art algorithm is an application of deep learning in which massive datasets of translated sentences are used to train a model capable of translating between any two languages.
An example could be converting English language to Hindi language.
Most of us were introduced to machine translation when Google came up with the service. 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. Google Translate Baidu Translate are well-known examples of NMT offered to the public via the Internet. Machine translation MT is a technique that leverages computers to translate human languages automatically.
