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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 551–560 of 1773 papers

TitleStatusHype
On Synthetic Data for Back Translation—0
Knowledge Based Template Machine Translation In Low-Resource Setting—0
On the Effectiveness of Quasi Character-Level Models for Machine Translation—0
Cost-Effective Training in Low-Resource Neural Machine Translation—0
PAEG: Phrase-level Adversarial Example Generation for Neural Machine Translation—0
SMDT: Selective Memory-Augmented Neural Document Translation—0
ViNMT: Neural Machine Translation ToolkitCode0
How do lexical semantics affect translation? An empirical studyCode0
Frequency-Aware Contrastive Learning for Neural Machine Translation—0
A Preordered RNN Layer Boosts Neural Machine Translation in Low Resource Settings—0
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