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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 1141–1150 of 1773 papers

TitleStatusHype
Toward Multilingual Neural Machine Translation with Universal Encoder and Decoder—0
Towards better translation performance on spoken language—0
Towards Compact and Fast Neural Machine Translation Using a Combined Method—0
Towards Decoding as Continuous Optimisation in Neural Machine Translation—0
Towards Decoding as Continuous Optimization in Neural Machine Translation—0
Towards Effective Disambiguation for Machine Translation with Large Language Models—0
Towards Enhancing Faithfulness for Neural Machine Translation—0
Towards Full Utilization on Mask Task for Distilling PLMs into NMT—0
Towards Linear Time Neural Machine Translation with Capsule Networks—0
Towards Neural Machine Translation for Edoid Languages—0
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