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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 1291–1300 of 1773 papers

TitleStatusHype
Domain Adaptive Inference for Neural Machine Translation—0
Incorporating Source-Side Phrase Structures into Neural Machine Translation—0
Neural Machine Translation between Myanmar (Burmese) and Rakhine (Arakanese)—0
Improving Neural Machine Translation with Neural Syntactic Distance—0
Unsupervised Extraction of Partial Translations for Neural Machine Translation—0
Online Distilling from Checkpoints for Neural Machine Translation—0
One Size Does Not Fit All: Comparing NMT Representations of Different Granularities—0
Revisiting NMT for Normalization of Early English LettersCode0
Examining Structure of Word Embeddings with PCA—0
Unbabel's Submission to the WMT2019 APE Shared Task: BERT-based Encoder-Decoder for Automatic Post-Editing—0
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