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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 1751–1760 of 1773 papers

TitleStatusHype
A Classification-Guided Approach for Adversarial Attacks against Neural Machine TranslationCode0
Dual Learning for Machine TranslationCode0
DTMT: A Novel Deep Transition Architecture for Neural Machine TranslationCode0
Low-resource neural machine translation with morphological modelingCode0
Low-Resource NMT: an Empirical Study on the Effect of Rich Morphological Word Segmentation on InuktitutCode0
Low-Resource Unsupervised NMT: Diagnosing the Problem and Providing a Linguistically Motivated SolutionCode0
Continual Knowledge Distillation for Neural Machine TranslationCode0
M3T: A New Benchmark Dataset for Multi-Modal Document-Level Machine TranslationCode0
On Adversarial Examples for Character-Level Neural Machine TranslationCode0
Contextual Parameter Generation for Universal Neural Machine TranslationCode0
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