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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 1311–1320 of 1773 papers

TitleStatusHype
Improving Neural Machine Translation with Neural Syntactic Distance—0
Online Distilling from Checkpoints for Neural Machine Translation—0
Unsupervised Extraction of Partial Translations 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
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
Semantic Diversity by Phonetics for Accurate and Robust Machine Translation—0
Revisiting Low-Resource Neural Machine Translation: A Case StudyCode0
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