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Aug 7, 2019 · Machine translation is the task of automatically converting source text in one language to text in another language. In a machine translation task, the input already consists of a sequence of symbols in some language, and the computer program must convert this into a sequence of symbols in another language. — Page 98, Deep Learning, 2016.
Neural Machine Translation (NMT) is an approach to machine translation that utilizes a large neural network. It has rapidly become the leading technology behind automated translation services, offering significant improvements over traditional rule-based and statistical machine translation methods. NMT systems are capable of producing ...
Neural machine translation. 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. It is the dominant approach today [1]: 293 [2]: 1 and can produce translations that rival ...
Sep 15, 2020 · Machine translation (MT) is a technique that leverages computers to translate human languages automatically. Nowadays, neural machine translation (NMT) which models direct mapping between source and target languages with deep neural networks has achieved a big breakthrough in translation performance and become the de facto paradigm of MT. This article makes a review of NMT framework, discusses ...
- Jiajun Zhang, Chengqing Zong, Chengqing Zong
- 2020
Nov 28, 2016 · In the last two years, attentional-sequence-to-sequence neural models have become the state-of-the-art in machine translation, far surpassing the accuracy phrasal translation systems of in many scenarios. However, these Neural Machine Translation (NMT) systems are not without their difficulties: training a model on a large-scale data set can ...
- 83 min
Jan 1, 2020 · Machine translation (MT) is an important sub-field of natural language processing that aims to translate natural languages using computers. In recent years, end-to-end neural machine translation (NMT) has achieved great success and has become the new mainstream method in practical MT systems. In this article, we first provide a broad review of ...
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Jul 9, 2021 · 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 long-term span of time. The recent machine translation ...
