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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 391–400 of 1773 papers

TitleStatusHype
Active Learning for Neural Machine TranslationCode0
Optimal Transport for Unsupervised Hallucination Detection in Neural Machine TranslationCode0
Synthetic Pre-Training Tasks for Neural Machine Translation—0
Continual Knowledge Distillation for Neural Machine TranslationCode0
Better Datastore, Better Translation: Generating Datastores from Pre-Trained Models for Nearest Neural Machine Translation—0
P-Transformer: Towards Better Document-to-Document Neural Machine TranslationCode0
Who Evaluates the Evaluators? On Automatic Metrics for Assessing AI-based Offensive Code Generators—0
DC-MBR: Distributional Cooling for Minimum Bayesian Risk Decoding—0
Word Alignment in the Era of Deep Learning: A Tutorial—0
PhraseTransformer: An Incorporation of Local Context Information into Sequence-to-sequence Semantic ParsingCode0
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