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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 1101–1110 of 1773 papers

TitleStatusHype
Exploiting Multilingualism through Multistage Fine-Tuning for Low-Resource Neural Machine Translation—0
Hierarchical Modeling of Global Context for Document-Level Neural Machine Translation—0
Exploiting Monolingual Data at Scale for Neural Machine Translation—0
On the Linguistic Representational Power of Neural Machine Translation Models—0
Unsupervised Neural Machine Translation with Future Rewarding—0
On the Relation between Position Information and Sentence Length in Neural Machine Translation—0
Synchronously Generating Two Languages with Interactive Decoding—0
Improving Neural Machine Translation by Achieving Knowledge Transfer with Sentence Alignment Learning—0
Recycling a Pre-trained BERT Encoder for Neural Machine Translation—0
English to Hindi Multi-modal Neural Machine Translation and Hindi Image Captioning—0
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