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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 1361–1370 of 1773 papers

TitleStatusHype
Observing the Learning Curve of NMT Systems With Regard to Linguistic Phenomena—0
Octanove Labs' Japanese-Chinese Open Domain Translation System—0
OdiEnCorp 2.0: Odia-English Parallel Corpus for Machine Translation—0
Off-the-Shelf Unsupervised NMT—0
On Compositionality in Neural Machine Translation—0
One Sentence One Model for Neural Machine Translation—0
One Size Does Not Fit All: Comparing NMT Representations of Different Granularities—0
On Instruction-Finetuning Neural Machine Translation Models—0
On Learning Meaningful Code Changes via Neural Machine Translation—0
On Leveraging the Visual Modality for Neural Machine Translation—0
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