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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 351–360 of 1773 papers

TitleStatusHype
On the Copying Problem of Unsupervised NMT: A Training Schedule with a Language Discriminator LossCode0
CODET: A Benchmark for Contrastive Dialectal Evaluation of Machine Translation—0
MTCue: Learning Zero-Shot Control of Extra-Textual Attributes by Leveraging Unstructured Context in Neural Machine TranslationCode0
Leveraging GPT-4 for Automatic Translation Post-Editing—0
Benchmarking Machine Translation with Cultural AwarenessCode0
Neural Machine Translation for Code Generation—0
Nearest Neighbor Machine Translation is Meta-Optimizer on Output Projection LayerCode0
Machine Translation by Projecting Text into the Same Phonetic-Orthographic Space Using a Common Encoding—0
Pseudo-Label Training and Model Inertia in Neural Machine Translation—0
ReSeTOX: Re-learning attention weights for toxicity mitigation in machine translationCode0
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