Neural machine translation

Neural machine translation (NMT) is the approach to machine translation in which a large neural network is trained to maximize translation… (More)
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Highly Cited
2018
Highly Cited
2018
In spite of the recent success of neural machine translation (NMT) in standard benchmarks, the lack of large parallel corpora… (More)
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Highly Cited
2017
Highly Cited
2017
We explore six challenges for neural machine translation: domain mismatch, amount of training data, rare words, long sentences… (More)
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Highly Cited
2016
Highly Cited
2016
Neural machine translation (NMT) models typically operate with a fixed vocabulary, but translation is an open-vocabulary problem… (More)
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Highly Cited
2016
Highly Cited
2016
Attention mechanism has enhanced stateof-the-art Neural Machine Translation (NMT) by jointly learning to align and translate. It… (More)
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Highly Cited
2016
Highly Cited
2016
Neural Machine Translation (MT) has reached state-of-the-art results. However, one of the main challenges that neural MT still… (More)
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Highly Cited
2016
Highly Cited
2016
Neural Machine Translation (NMT) is an end-to-end learning approach for automated translation, with the potential to overcome… (More)
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Highly Cited
2015
Highly Cited
2015
An attentional mechanism has lately been used to improve neural machine translation (NMT) by selectively focusing on parts of the… (More)
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Highly Cited
2015
Highly Cited
2015
We introduce a neural machine translation model that views the input and output sentences as sequences of characters rather than… (More)
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Highly Cited
2015
Highly Cited
2015
Neural machine translation, a recently proposed approach to machine translation based purely on neural networks, has shown… (More)
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Highly Cited
2014
Highly Cited
2014
Neural machine translation is a relatively new approach to statistical machine translation based purely on neural networks. The… (More)
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