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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 441–450 of 1773 papers

TitleStatusHype
SMDT: Selective Memory-Augmented Neural Document Translation—0
How do lexical semantics affect translation? An empirical studyCode0
ViNMT: Neural Machine Translation ToolkitCode0
Frequency-Aware Contrastive Learning for Neural Machine Translation—0
A Preordered RNN Layer Boosts Neural Machine Translation in Low Resource Settings—0
Joint-training on Symbiosis Networks for Deep Nueral Machine Translation models—0
Spiral Language Modeling—0
Amortized Noisy Channel Neural Machine Translation—0
Harnessing Cross-lingual Features to Improve Cognate Detection for Low-resource LanguagesCode0
Improving Both Domain Robustness and Domain Adaptability in Machine TranslationCode0
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