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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 1191–1200 of 1773 papers

TitleStatusHype
Make the Blind Translator See The World: A Novel Transfer Learning Solution for Multimodal Machine Translation—0
Massively Multilingual Neural Machine Translation—0
Massively Multilingual Neural Machine Translation in the Wild: Findings and Challenges—0
Master Thesis: Neural Sign Language Translation by Learning Tokenization—0
KÚ <MASK>: Integrating Yorùbá cultural greetings into machine translation—0
MBR and QE Finetuning: Training-time Distillation of the Best and Most Expensive Decoding Methods—0
Meaningless yet meaningful: Morphology grounded subword-level NMT—0
Measuring and Improving Faithfulness of Attention in Neural Machine Translation—0
Measuring and Mitigating Name Biases in Neural Machine Translation—0
Meet Changes with Constancy: Learning Invariance in Multi-Source Translation—0
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