Neural machine translation - Wikipedia
WEBNeural 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.
A Gentle Introduction to Neural Machine Translation
WEBAug 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.
Google Neural Machine Translation - Wikipedia
WEBGoogle 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.
Google Translate - Wikipedia
WEBGoogle Translate is a multilingual neural machine translation service developed by Google to translate text, documents and websites from one language into another. It offers a website interface, a mobile app for Android and iOS, as well as an API that helps developers build browser extensions and software applications. [3] .
Neural machine translation: A review of methods, resources, …
WEBJan 1, 2020 · Neural machine translation has become the dominant approach to machine translation in both research and practice. This article reviewed the widely used methods in NMT, including modeling, decoding, data augmentation, …
Philipp Koehn: Neural Machine Translation | Machine Translation …
WEBJun 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).
Neural machine translation: past, present, and future
WEBJul 9, 2021 · Abstract. Deep neural networks (DNN) have achieved great success in several research areas like information retrieval, image processing, and speech recognition. In the field of machine translation, neural machine translation (NMT) has been able to overcome the statistical machine translation (SMT), which has been the dominant technology for a ...
Neural machine translation - Wikipedia - BME
WEBNeural 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.
A Neural Network for Machine Translation, at Production Scale
WEBA 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.
Google's Neural Machine Translation System: Bridging the Gap …
WEBNeural Machine Translation (NMT) is an end-to-end learning approach for automated translation, with the potential to overcome many of the weaknesses of conventional phrase-based translation systems. Unfortunately, NMT systems are known to be computationally expensive both in training and in translation inference.
Skip to content