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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 1301–1310 of 1773 papers

TitleStatusHype
Addressing Troublesome Words in Neural Machine Translation—0
Addressing word-order Divergence in Multilingual Neural Machine Translation for extremely Low Resource Languages—0
A Deep Learning Based Approach to Transliteration—0
AdMix: A Mixed Sample Data Augmentation Method for Neural Machine Translation—0
Advancing AI with Integrity: Ethical Challenges and Solutions in Neural Machine Translation—0
Advancing Explainability in Neural Machine Translation: Analytical Metrics for Attention and Alignment Consistency—0
AdvAug: Robust Adversarial Augmentation for Neural Machine Translation—0
Adversarial Grammatical Error Correction—0
Adversarial Neural Machine Translation—0
A Dynamic Head Importance Computation Mechanism for Neural Machine Translation—0
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