SOTAVerified

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 1171–1180 of 1773 papers

TitleStatusHype
Combining SMT and NMT Back-Translated Data for Efficient NMT—0
Investigating Multilingual NMT Representations at Scale—0
FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative FlowCode1
Multi-Granularity Self-Attention for Neural Machine Translation—0
Simpler and Faster Learning of Adaptive Policies for Simultaneous Translation—0
Multi-agent Learning for Neural Machine Translation—0
Context-Aware Monolingual Repair for Neural Machine TranslationCode1
Improving Context-aware Neural Machine Translation with Target-side Context—0
Comparison between NMT and PBSMT Performance for Translating Noisy User-Generated Content—0
Automated Text Simplification as a Preprocessing Step for Machine Translation into an Under-resourced Language—0
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