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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 1381–1390 of 1773 papers

TitleStatusHype
On the Effectiveness of Quasi Character-Level Models for Machine Translation—0
On-the-Fly Fusion of Large Language Models and Machine Translation—0
Towards Inducing Document-Level Abilities in Standard Multilingual Neural Machine Translation Models—0
On the Language Coverage Bias for Neural Machine Translation—0
On the Linguistic Representational Power of Neural Machine Translation Models—0
On the Relation between Position Information and Sentence Length in Neural Machine Translation—0
On the Relationship between Neural Machine Translation and Word Alignment—0
On the Sparsity of Neural Machine Translation Models—0
On the Sub-Layer Functionalities of Transformer Decoder—0
On the use of BERT for Neural Machine Translation—0
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