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NMT

Neural machine translation 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.

Papers

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Showing 1201–1210 of 1773 papers

TitleStatusHype
Reference Network for Neural Machine Translation—0
Controllable Dual Skew Divergence Loss for Neural Machine Translation—0
Improving Neural Machine Translation with Pre-trained Representation—0
Recurrent Graph Syntax Encoder for Neural Machine Translation—0
Hard but Robust, Easy but Sensitive: How Encoder and Decoder Perform in Neural Machine Translation—0
The Transference Architecture for Automatic Post-Editing—0
Incorporating Word and Subword Units in Unsupervised Machine Translation Using Language Model Rescoring—0
Towards Making the Most of BERT in Neural Machine TranslationCode0
Adabot: Fault-Tolerant Java Decompiler—0
UdS Submission for the WMT 19 Automatic Post-Editing Task—0
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