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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

Showing 441450 of 1773 papers

TitleStatusHype
Enhancing Low-Resource NMT with a Multilingual Encoder and Knowledge Distillation: A Case StudyCode0
FGraDA: A Dataset and Benchmark for Fine-Grained Domain Adaptation in Machine TranslationCode0
Efficient Cluster-Based k-Nearest-Neighbor Machine TranslationCode0
Do GPTs Produce Less Literal Translations?Code0
Chunk-Based Bi-Scale Decoder for Neural Machine TranslationCode0
Efficient k-Nearest-Neighbor Machine Translation with Dynamic RetrievalCode0
As Easy as 1, 2, 3: Behavioural Testing of NMT Systems for Numerical TranslationCode0
Are We Paying Attention to Her? Investigating Gender Disambiguation and Attention in Machine TranslationCode0
Dynamic Past and Future for Neural Machine TranslationCode0
Dynamic Multi-Branch Layers for On-Device Neural Machine TranslationCode0
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