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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 1491–1500 of 1773 papers

TitleStatusHype
Named-Entity Tagging and Domain adaptation for Better Customized Translation—0
How Much Attention Do You Need? A Granular Analysis of Neural Machine Translation Architectures—0
Neural Hidden Markov Model for Machine Translation—0
SuperNMT: Neural Machine Translation with Semantic Supersenses and Syntactic Supertags—0
Forest-Based Neural Machine Translation—0
Neural Machine Translation Techniques for Named Entity TransliterationCode0
NICT Self-Training Approach to Neural Machine Translation at NMT-2018—0
Unsupervised Source Hierarchies for Low-Resource Neural Machine Translation—0
A Simple and Effective Approach to Coverage-Aware Neural Machine Translation—0
Are BLEU and Meaning Representation in Opposition?—0
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