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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 1301–1325 of 1773 papers

TitleStatusHype
Bridging the Gap between Training and Inference for Neural Machine Translation—0
Robust Neural Machine Translation with Doubly Adversarial Inputs—0
Unsupervised Pivot Translation for Distant Languages—0
From Balustrades to Pierre Vinken: Looking for Syntax in Transformer Self-Attentions—0
Improved Zero-shot Neural Machine Translation via Ignoring Spurious Correlations—0
Lattice-Based Transformer Encoder for Neural Machine Translation—0
Exploiting Sentential Context for Neural Machine Translation—0
Post-editing Productivity with Neural Machine Translation: An Empirical Assessment of Speed and Quality in the Banking and Finance Domain—0
Domain Adaptive Inference for Neural Machine Translation—0
One Size Does Not Fit All: Comparing NMT Representations of Different Granularities—0
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
Debiasing Word Embeddings Improves Multimodal Machine Translation—0
An Analysis of Source-Side Grammatical Errors in NMT—0
Corpus Augmentation by Sentence Segmentation for Low-Resource Neural Machine Translation—0
Target Conditioned Sampling: Optimizing Data Selection for Multilingual Neural Machine Translation—0
Effective Cross-lingual Transfer of Neural Machine Translation Models without Shared VocabulariesCode0
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