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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 1601–1610 of 1773 papers

TitleStatusHype
Better Neural Machine Translation by Extracting Linguistic Information from BERTCode0
DivEMT: Neural Machine Translation Post-Editing Effort Across Typologically Diverse LanguagesCode0
Nearest Neighbor Machine Translation is Meta-Optimizer on Output Projection LayerCode0
Automatic Evaluation and Analysis of Idioms in Neural Machine TranslationCode0
The Curious Case of Hallucinations in Neural Machine TranslationCode0
SGNMT -- A Flexible NMT Decoding Platform for Quick Prototyping of New Models and Search StrategiesCode0
AutoLoss: Learning Discrete Schedules for Alternate OptimizationCode0
Coding Textual Inputs Boosts the Accuracy of Neural NetworksCode0
The eBible Corpus: Data and Model Benchmarks for Bible Translation for Low-Resource LanguagesCode0
Enhanced Neural Machine Translation by Learning from DraftCode0
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